{"id":53299,"date":"2019-11-28T00:00:00","date_gmt":"2019-11-27T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/56-proektov-na-python-s-otkrytym-ishodnym-kodom"},"modified":"2020-02-18T14:01:11","modified_gmt":"2020-02-18T11:01:11","slug":"56-proektov-na-python-s-otkrytym-ishodnym-kodom","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/56-proektov-na-python-s-otkrytym-ishodnym-kodom","title":{"rendered":"56 projekte n\u00eb Python me kod t\u00eb hapur","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"56 projekte n\u00eb Python me kod t\u00eb hapur\" src=\"\/wp-content\/uploads\/2019\/11\/424ea06c178ea7e7823676a1119763e9.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<\/p>\n<h3>1. Flask<\/h3>\n<p>\n\u00cbsht\u00eb nj\u00eb mikro-frejm\u00eb, e shkruar n\u00eb Python. Ai nuk ka vler\u00ebsime p\u00ebr format dhe nivelin e abstraksionit t\u00eb baz\u00ebs s\u00eb t\u00eb dh\u00ebnave, por ju lejon t\u00eb p\u00ebrdorni biblioteka t\u00eb jashtme p\u00ebr funksione t\u00eb zakonshme. Dhe pik\u00ebrisht p\u00ebr k\u00ebt\u00eb arsye \u00ebsht\u00eb mikro-frejm\u00eb. Flask \u00ebsht\u00eb i destinuar p\u00ebr krijimin e aplikacioneve t\u00eb thjeshta dhe t\u00eb shpejta, dhe gjithashtu \u00ebsht\u00eb i shkall\u00ebzuesh\u00ebm dhe i leht\u00eb. Ai bazohet n\u00eb projektet Werkzeug dhe Jinja2. Ju mund t\u00eb m\u00ebsoni m\u00eb shum\u00eb rreth tij n\u00eb artikullin e fundit t\u00eb DataFlair p\u00ebr <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-flask-tutorial\/\">Python Flask<\/a><\/noindex>.<\/p>\n<h3>2. Keras<\/h3>\n<p>\nKeras \u00ebsht\u00eb nj\u00eb bibliotek\u00eb nervore me kod t\u00eb hapur, e shkruar n\u00eb Python. Ajo \u00ebsht\u00eb e leht\u00eb p\u00ebr t'u p\u00ebrdorur, modulare dhe e zgjerueshme, si dhe mund t\u00eb funksionoj\u00eb mbi TensorFlow, Theano, PlaidML ose Microsoft Cognitive Toolkit (CNTK). Keras ka gjith\u00e7ka: modele, funksione q\u00ebllimore dhe transferimi, optimizues dhe shum\u00eb m\u00eb tep\u00ebr. Ai gjithashtu mb\u00ebshtet rrjetet nervore konvolucionale dhe recurente.<\/p>\n<p>Puna mbi projektin e fundit me kod t\u00eb hapur t\u00eb bazuar n\u00eb Keras \u00ebsht\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/project-in-python-breast-cancer-classification\/\">Klasifikimi i kancerit t\u00eb gjirit<\/a><\/noindex>.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<blockquote><p><noindex><a rel=\"nofollow\" href=\"https:\/\/www.edsd.ru\/\" title=\"EDISON Software - zhvillim webi\"><img decoding=\"async\" alt=\"56 projekte n\u00eb Python me kod t\u00eb hapur\" src=\"\/wp-content\/uploads\/2019\/11\/4b13d579a890b450683f1a60ba814766.jpeg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><br clear=\"right\"><br \/>\nArtikulli \u00ebsht\u00eb p\u00ebrkthyer me mb\u00ebshtetje nga kompania EDISON Software, e cila <noindex><a rel=\"nofollow\" href=\"https:\/\/www.edsd.ru\/diagnostika-hranilishha-dokumentov-vivaldi\">zhvillojn\u00eb sistemin e diagnostik\u00ebs s\u00eb magazin\u00ebs s\u00eb dokumenteve Vivaldi<\/a><\/noindex>, si dhe <noindex><a rel=\"nofollow\" href=\"https:\/\/www.edsd.ru\/ru\/princypy\/investiruem-v-produkty\">investojn\u00eb n\u00eb startupe<\/a><\/noindex>.<\/p><\/blockquote>\n<h3>3. SpaCy<\/h3>\n<p>\nKjo \u00ebsht\u00eb nj\u00eb bibliotek\u00eb softueri me kod t\u00eb hapur, e cila merret me <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/nlp-natural-language-processing\/\">p\u00ebrpunimin e gjuh\u00ebs natyrore (NLP)<\/a><\/noindex> dhe \u00ebsht\u00eb e shkruar n\u00eb Python dhe Cython. Nd\u00ebrsa NLTK \u00ebsht\u00eb m\u00eb e p\u00ebrshtatshme p\u00ebr q\u00ebllime m\u00ebsimore dhe hulumtuese, SpaCy fokusohet n\u00eb ofrimin e softuerit p\u00ebr prodhim. P\u00ebr m\u00eb tep\u00ebr, Thinc \u00ebsht\u00eb nj\u00eb bibliotek\u00eb e m\u00ebsimit t\u00eb makinerive n\u00eb SpaCy, e cila paraqet modele CNN p\u00ebr etiketat e pjes\u00ebs s\u00eb foljes, analiz\u00ebn e var\u00ebsive dhe njohjen e objekteve t\u00eb em\u00ebruara.<\/p>\n<h3>4. Sentry<\/h3>\n<p>\nSentry ofron hostimin e monitorimit t\u00eb gabimeve me kod t\u00eb hapur, p\u00ebr sa ju mund\u00ebson t\u00eb zbuloni dhe t\u00eb kategorizoni gabimet n\u00eb koh\u00eb reale. Thjesht instaloni SDK p\u00ebr gjuh\u00ebt\/apo frejm\u00ebt tuaj dhe filloni pun\u00ebn. Ai lejon regjistrimin e p\u00ebrjashtimeve q\u00eb nuk jan\u00eb trajtuar, studimin e gjurm\u00ebs s\u00eb stack, analizimin e ndikimit t\u00eb \u00e7do problemi, ndjekjen e gabimeve n\u00eb projekte t\u00eb ndryshme, caktimin e problemeve dhe shum\u00eb m\u00eb tep\u00ebr. P\u00ebrdorimi i Sentry do t\u00eb thot\u00eb m\u00eb pak gabime dhe m\u00eb shum\u00eb kod t\u00eb d\u00ebrguar.<\/p>\n<h3>5. OpenCV<\/h3>\n<p>\nOpenCV - \u00ebsht\u00eb nj\u00eb bibliotek\u00eb p\u00ebr vizionin kompjuterik dhe m\u00ebsimin automatik me kod t\u00eb hapur. Biblioteka ka m\u00eb shum\u00eb se 2500 algoritmo t\u00eb optimizuar p\u00ebr detyra t\u00eb vizionit kompjuterik, si zbulimi dhe njohja e objekteve, klasifikimi i aktiviteteve t\u00eb ndryshme njer\u00ebzore, gjurmimi i l\u00ebvizjeve me an\u00eb t\u00eb kamer\u00ebs, krijimi i modeleve tridimensionale t\u00eb objekteve, lidhja e imazheve p\u00ebr t\u00eb krijuar imazhe me rezolucion t\u00eb lart\u00eb dhe shum\u00eb detyra t\u00eb tjera. Biblioteka \u00ebsht\u00eb e disponueshme p\u00ebr shum\u00eb gjuh\u00eb, si Python, C++ dhe Java.<\/p>\n<p>Numri i yjeve n\u00eb Github: 39585<\/p>\n<p>A keni punuar ndonj\u00ebher\u00eb n\u00eb nj\u00eb projekt OpenCV? Ja nj\u00eb - <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-project-gender-age-detection\/\">Projekti i p\u00ebrcaktimit t\u00eb gjinis\u00eb dhe mosh\u00ebs<\/a><\/noindex><\/p>\n<h3>6. Nilearn<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb modul p\u00ebr implementimin e shpejt\u00eb dhe t\u00eb thjesht\u00eb t\u00eb m\u00ebsimit statistikor n\u00eb t\u00eb dh\u00ebnat e NeuroImaging. Ai lejon p\u00ebrdorimin e scikit-learn p\u00ebr statistika shum\u00ebdimensionale p\u00ebr modelimin e parashikimit, klasifikimin, dekodimin dhe analiz\u00ebn e lidhjeve. Nilearn \u00ebsht\u00eb pjes\u00eb e ekosistem\u00ebs NiPy, e cila \u00ebsht\u00eb nj\u00eb komunitet q\u00eb i dedikohet p\u00ebrdorimit t\u00eb Python p\u00ebr analiz\u00ebn e t\u00eb dh\u00ebnave t\u00eb neuro-imazhit.<\/p>\n<p>Numri i yjeve n\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/nilearn\/nilearn\">Github<\/a><\/noindex>: 549<\/p>\n<h3>7. scikit-Learn<\/h3>\n<p>\nScikit-learn \u00ebsht\u00eb nj\u00eb projekt tjet\u00ebr me kod t\u00eb hapur n\u00eb Python. Kjo \u00ebsht\u00eb nj\u00eb bibliotek\u00eb shum\u00eb e njohur p\u00ebr m\u00ebsimin automatik n\u00eb Python. P\u00ebrdoret shpesh me NumPy dhe SciPy, SciPy ofron klasifikimin, regresionin dhe grupimin - mb\u00ebshtet <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/svm-support-vector-machine-tutorial\/\">SVM (Makinat me Vektor\u00eb Mb\u00ebshtetje)<\/a><\/noindex>, pyje t\u00eb rastit, p\u00ebrshpejtim gradi, k-m\u00ebnyra dhe DBSCAN. Kjo bibliotek\u00eb \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebt Python dhe Cython.<\/p>\n<p>Numri i yjeve n\u00eb Github: 37,144<\/p>\n<h3>8. PyTorch<\/h3>\n<p>\nPyTorch \u00ebsht\u00eb nj\u00eb tjet\u00ebr bibliotek\u00eb e hapur p\u00ebr m\u00ebsimin automatik, e shkruar n\u00eb Python dhe p\u00ebr Python. Ajo bazohet n\u00eb bibliotek\u00ebn Torch dhe \u00ebsht\u00eb shum\u00eb e p\u00ebrshtatshme p\u00ebr fusha t\u00eb tilla si vizioni kompjuterik dhe p\u00ebrpunimi i gjuh\u00ebs natyrore (NLP). Ka gjithashtu nj\u00eb frontend C++. <\/p>\n<p>Nd\u00ebr shum\u00eb karakteristika t\u00eb tjera, PyTorch ofron dy t\u00eb larta:<\/p>\n<ul>\n<li>Kalkulimet tensoriale me p\u00ebrshpejtim t\u00eb fort\u00eb me GPU<\/li>\n<li>Rrjetet neuronale t\u00eb thella<\/li>\n<\/ul>\n<p>Numri i yjeve n\u00eb Github: 31 779<\/p>\n<h3>9. Librosa<\/h3>\n<p>\nLibrosa \u00ebsht\u00eb nj\u00eb nga bibliotekat m\u00eb t\u00eb mira t\u00eb Python p\u00ebr analiz\u00ebn e muzik\u00ebs dhe audios. Ajo p\u00ebrmban komponent\u00ebt e nevojsh\u00ebm q\u00eb p\u00ebrdoren p\u00ebr t\u00eb nxjerr\u00eb informacion nga muzika. Biblioteka \u00ebsht\u00eb e dokumentuar mir\u00eb dhe p\u00ebrmban disa udh\u00ebzime dhe shembuj q\u00eb do t\u00eb leht\u00ebsojn\u00eb p\u00ebrfundimin e detyr\u00ebs tuaj.<\/p>\n<p>Numri i yjeve n\u00eb Github: 3107<\/p>\n<p>Zhvillimi i projektit Python me burim t\u00eb hapur dhe Librosa \u2014 <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-mini-project-speech-emotion-recognition\/\">njoftimi i emocioneve n\u00eb fjal\u00eb<\/a><\/noindex>. <\/p>\n<h3>10. Gensim<\/h3>\n<p>\nGensim \u00ebsht\u00eb nj\u00eb bibliotek\u00eb Python p\u00ebr modelimin e temave, indekson dokumenteve dhe k\u00ebrkimin e ngjashm\u00ebrive me korporata t\u00eb m\u00ebdha. Ajo \u00ebsht\u00eb e orientuar ndaj komuniteteve t\u00eb NLP dhe k\u00ebrkimit t\u00eb informacionit. Gensim \u00ebsht\u00eb nj\u00eb shkurtim p\u00ebr \"gjenero ngjashm\u00ebrin\u00eb\". Nj\u00ebher\u00eb ai krijonte nj\u00eb list\u00eb t\u00eb shkurt\u00ebr t\u00eb artikujve q\u00eb ishin t\u00eb ngjash\u00ebm me k\u00ebt\u00eb artikull. Gensim \u00ebsht\u00eb i qart\u00eb, efikas dhe i shkall\u00ebzuesh\u00ebm. Gensim ofron nj\u00eb implementim t\u00eb thjesht\u00eb dhe efektiv t\u00eb modelimit semantik t\u00eb pakontrolluar nga teksti i thjesht\u00eb.<\/p>\n<p>Numri i yjeve n\u00eb Github: 9 870<\/p>\n<h3>11. Django<\/h3>\n<p>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/django-tutorials-home\/\">Django<\/a><\/noindex> \u2014 nj\u00eb framework i nivelit t\u00eb lart\u00eb Python, q\u00eb inkurajon zhvillimin e shpejt\u00eb dhe beson n\u00eb parimin DRY (mos e p\u00ebrs\u00ebris). Ai \u00ebsht\u00eb nj\u00eb framework shum\u00eb i fuqish\u00ebm dhe m\u00eb i p\u00ebrdoruri p\u00ebr Python. Ai bazohet n\u00eb modelin MTV (Model-Template-View).<\/p>\n<p>Numri i yjeve n\u00eb Github: 44 214<\/p>\n<h3>12. Njohja e fytyr\u00ebs<\/h3>\n<p>\nNjohja e fytyr\u00ebs \u00ebsht\u00eb nj\u00eb projekt popullor n\u00eb GitHub. Ai leht\u00eb njihet fytyrat dhe e manipuluar ato duke p\u00ebrdorur Python \/ komand\u00ebn e linj\u00ebs dhe p\u00ebrdor bibliotek\u00ebn m\u00eb t\u00eb thjesht\u00eb n\u00eb bot\u00eb p\u00ebr njohjen e fytyrave. N\u00eb k\u00ebt\u00eb rast p\u00ebrdoret dlib me m\u00ebsim t\u00eb thell\u00eb p\u00ebr zbulimin e fytyrave me sakt\u00ebsi 99,38% n\u00eb provimin Wild benchmark.<\/p>\n<p>Numri i yjeve n\u00eb Github: 28,267<\/p>\n<h3>13. Cookiecutter<\/h3>\n<p>\nCookiecutter \u00ebsht\u00eb nj\u00eb utilit q\u00eb mund t\u00eb p\u00ebrdoret p\u00ebr t\u00eb krijuar projekte nga shabllone (cookiecutters). Nj\u00eb nga shembujt mund t\u00eb jet\u00eb krijimi i nj\u00eb projekti paket\u00eb nga nj\u00eb shabllon projekti paket\u00eb. K\u00ebto jan\u00eb shabllone cross-platform dhe shabllone projektesh mund t\u00eb jen\u00eb n\u00eb \u00e7do gjuh\u00eb ose n\u00eb \u00e7do format markup, si Python, JavaScript, HTML, Ruby, CoffeeScript, RST dhe Markdown. Ai gjithashtu lejon p\u00ebrdorimin e disa gjuh\u00ebve n\u00eb t\u00eb nj\u00ebjtin shabllon projekti.<\/p>\n<p>Numri i yjeve n\u00eb Github: 10 291<\/p>\n<h3>14. Pandas<\/h3>\n<p>\nPandas \u00ebsht\u00eb nj\u00eb bibliotek\u00eb p\u00ebr analiz\u00ebn e t\u00eb dh\u00ebnave dhe manipulimin e tyre p\u00ebr Python, duke ofruar struktura t\u00eb dh\u00ebnash t\u00eb etiketuar dhe funksione statistikore.<\/p>\n<p>Numri i yjeve n\u00eb Github: 21,404<\/p>\n<p>Projekt Python me burim t\u00eb hapur p\u00ebr t\u00eb provuar Pandas \u2014 <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-machine-learning-project-detecting-parkinson-disease\/\">zbulimi i s\u00ebmundjes s\u00eb Parkinsonit<\/a><\/noindex><\/p>\n<h3>15. Pipenv<\/h3>\n<p>\nPipenv premton se t\u00eb jet\u00eb nj\u00eb mjet gati p\u00ebr prodhim, i dizajnuar p\u00ebr t\u00eb sjell\u00eb m\u00eb t\u00eb mir\u00ebn nga t\u00eb gjitha bot\u00ebt e paketimeve n\u00eb bot\u00ebn Python. Terminali i tij ka ngjyra t\u00eb bukura dhe bashkon Pipfile, pip dhe virtualenv n\u00eb nj\u00eb komand\u00eb. Ai krijon dhe menaxhon automatikisht nj\u00eb ambient virtual p\u00ebr projektet tuaja dhe i ofron p\u00ebrdoruesve nj\u00eb m\u00ebnyr\u00eb t\u00eb thjesht\u00eb p\u00ebr t\u00eb konfiguruar ambientin e pun\u00ebs.<\/p>\n<p>Numri i yjeve n\u00eb Github: 18,322<\/p>\n<h3>16. SimpleCoin<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb implementim i Blockchain p\u00ebr kriptomonedha, i krijuar n\u00eb Python, por \u00ebsht\u00eb i thjesht\u00eb, jo i sigurt dhe i paplot\u00eb. SimpleCoin nuk \u00ebsht\u00eb p\u00ebr p\u00ebrdorim n\u00eb prodhim. Nuk \u00ebsht\u00eb p\u00ebr prodhim, SimpleCoin \u00ebsht\u00eb i dizajnuar p\u00ebr q\u00ebllime edukative dhe vet\u00ebm p\u00ebr t\u00eb b\u00ebr\u00eb nj\u00eb zinxhir funksional blockchain t\u00eb disponuesh\u00ebm dhe ta thjesht\u00ebsoj\u00eb at\u00eb. Ai lejon ruajtjen e hash-ave t\u00eb nxjerra dhe shk\u00ebmbimin e tyre p\u00ebr \u00e7do monedh\u00eb t\u00eb mb\u00ebshtetur.<br \/>\nNumri i yjeve n\u00eb Github: 1343<\/p>\n<h3>17. Pyray<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb bibliotek\u00eb 3D-renderimi, e shkruar n\u00eb Python t\u00eb past\u00ebr. Ajo vizualizon objekte dhe skena 2D, 3D t\u00eb nj\u00eb p\u00ebrmas\u00eb m\u00eb t\u00eb madhe n\u00eb Python dhe animacione. Ajo na gjen n\u00eb fush\u00ebn e videove t\u00eb krijuara, loj\u00ebrave video, simulimeve fizike dhe madje edhe imazheve t\u00eb bukura. K\u00ebrkesat p\u00ebr k\u00ebt\u00eb jan\u00eb: PIL, numpy dhe scipy.<\/p>\n<p>Numri i yjeve n\u00eb Github: 451<\/p>\n<h3>18. MicroPython<\/h3>\n<p>\nMicroPython \u00ebsht\u00eb Python p\u00ebr mikrocontroller. Kjo \u00ebsht\u00eb nj\u00eb implementim efikas i Python3, i cili vjen me shum\u00eb paketa nga biblioteka standarde e Python dhe \u00ebsht\u00eb optimizuar p\u00ebr t\u00eb punuar n\u00eb mikrocontroller dhe n\u00eb kushte t\u00eb kufizuara. Pyboard \u00ebsht\u00eb nj\u00eb pllak\u00eb elektronike e vog\u00ebl, mbi t\u00eb cil\u00ebn MicroPython punon mbi metal t\u00eb past\u00ebr, k\u00ebshtu q\u00eb mund t\u00eb kontrolloj\u00eb t\u00eb gjitha llojet e projekteve elektronike.<\/p>\n<p>Numri i yjeve n\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/micropython\/micropython\">Github<\/a><\/noindex>: 9,197<\/p>\n<h3>19. Kivy<\/h3>\n<p>\nKivy \u00ebsht\u00eb nj\u00eb bibliotek\u00eb Python p\u00ebr zhvillimin e aplikacioneve mobile dhe aplikacioneve t\u00eb tjera shum\u00ebpreke me nj\u00eb nd\u00ebrfaqe p\u00ebrdoruesi natyrale (NUI). Ajo ka nj\u00eb bibliotek\u00eb grafike, disa opsione widget-i, nj\u00eb gjuh\u00eb nd\u00ebrmjet\u00ebse Kv p\u00ebr t\u00eb krijuar widget-e t\u00eb personalizuara, mb\u00ebshtetje p\u00ebr miun, tastier\u00ebn, TUIO dhe ngjarjet e hyrjes shum\u00ebpreke. Kjo \u00ebsht\u00eb nj\u00eb bibliotek\u00eb me kod t\u00eb hapur p\u00ebr zhvillimin e shpejt\u00eb t\u00eb aplikacioneve me nd\u00ebrfaqe inovative p\u00ebr p\u00ebrdoruesit. Ajo \u00ebsht\u00eb shum\u00eb-platform\u00eb, e miq\u00ebsore me biznesin dhe ka p\u00ebrshpejtim GPU.<\/p>\n<p>Numri i yjeve n\u00eb Github: 9 930<\/p>\n<h3>20. Dash<\/h3>\n<p>\nDash by Plotly \u00ebsht\u00eb nj\u00eb korniz\u00eb aplikacionesh web. E nd\u00ebrtuar mbi Flask, Plotly.js, React dhe React.js, ajo na lejon t\u00eb p\u00ebrdorim Python p\u00ebr nd\u00ebrtimin e paneleve t\u00eb kontrollit. Ajo ofron funksionim p\u00ebr modelet Python dhe R n\u00eb shkall\u00eb t\u00eb madhe. Dash lejon krijimin, testimin, shp\u00ebrndarjen dhe p\u00ebrgatitjen e raporteve pa p\u00ebrdorur DevOps, JavaScript, CSS ose CronJobs. Dash \u00ebsht\u00eb efikase, e personalizueshme, e leht\u00eb dhe e menaxhueshme. Gjithashtu ka burim t\u00eb hapur.<\/p>\n<p>Numri i yjeve n\u00eb Github: 9,883<\/p>\n<h3>21. Magenta<\/h3>\n<p>\nMagenta \u00ebsht\u00eb nj\u00eb projekt k\u00ebrkimor me burim t\u00eb hapur q\u00eb fokusohet n\u00eb m\u00ebsimin e makinerive si nj\u00eb mjet n\u00eb procesin krijues. Ajo lejon krijimin e muzik\u00ebs dhe artit p\u00ebrmes m\u00ebsimit t\u00eb makinerive. Magenta \u00ebsht\u00eb nj\u00eb bibliotek\u00eb Python e bazuar n\u00eb TensorFlow, me mjete p\u00ebrpunimi t\u00eb t\u00eb dh\u00ebnave, p\u00ebrdorim p\u00ebr trajnimin e modeleve t\u00eb makinerive dhe krijimin e p\u00ebrmbajtjeve t\u00eb reja.<\/p>\n<h3>22. Mask R-CNN<\/h3>\n<p>\nKjo \u00ebsht\u00eb nj\u00eb implementim i mask\u00ebs R-CNN n\u00eb Python 3, TensorFlow dhe Keras. Modeli merr \u00e7do shembull objekti n\u00eb raster dhe krijon p\u00ebr t\u00eb kufizime dhe maska segmentimi. Ajo p\u00ebrdor nj\u00eb rrjet Feature Pyramid Network (FPN) dhe magjistralen ResNet101. Kodi \u00ebsht\u00eb leht\u00ebsisht i zgjeruesh\u00ebm. Ky projekt gjithashtu ofron nj\u00eb set t\u00eb dh\u00ebnash Matterport3D p\u00ebr hap\u00ebsirat 3D t\u00eb rikonstruktuara, t\u00eb kapura nga klient\u00ebt...<br \/>\nNumri i yjeve n\u00eb Github: 14 055<\/p>\n<h3>23. Modelet TensorFlow<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb depo me modelet e ndryshme, t\u00eb implementuara n\u00eb TensorFlow \u2014 modelet zyrtare dhe ato k\u00ebrkimore. Ajo gjithashtu ka shembuj dhe udh\u00ebzime. Modelet zyrtare p\u00ebrdorin API t\u00eb niveleve t\u00eb larta t\u00eb TensorFlow. Modelet k\u00ebrkimore jan\u00eb modele t\u00eb implementuara n\u00eb TensorFlow nga k\u00ebrkuesit p\u00ebr mb\u00ebshtetje ose p\u00ebr t\u00eb ofruar informacion dhe pranuar k\u00ebrkesa.<\/p>\n<p>Numri i yjeve n\u00eb Github: 57 745<\/p>\n<h3>24. Snallygaster<\/h3>\n<p>\nSnallygaster \u00ebsht\u00eb nj\u00eb m\u00ebnyr\u00eb p\u00ebr t\u00eb organizuar \u00e7\u00ebshtjet n\u00eb pllakat projektuale. Me t\u00eb, mund t\u00eb personalizoni nj\u00eb panel menaxhimi projektesh n\u00eb GitHub, t\u00eb optimizoni dhe automatizoni rrjedh\u00ebn e pun\u00ebs. Ajo lejon grupimin e detyrave, planifikimin e projekteve, automatizimin e procesit t\u00eb pun\u00ebs, ndjekjen e progresit, ndarjen e statusit dhe, n\u00eb fund, p\u00ebrfundimin. Snallygaster mund t\u00eb skanoj\u00eb p\u00ebr skedar\u00ebt sekret\u00eb n\u00eb server\u00ebt HTTP \u2014 ajo k\u00ebrkon skedar\u00eb t\u00eb disponuesh\u00ebm n\u00eb server\u00ebt web q\u00eb nuk duhet t\u00eb jen\u00eb publik\u00eb dhe mund t\u00eb paraqesin nj\u00eb k\u00ebrc\u00ebnim p\u00ebr sigurin\u00eb.<\/p>\n<p>Numri i yjeve n\u00eb Github: 1 477<\/p>\n<h3>25. Statsmodels<\/h3>\n<p>\nKy <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-packages\/\">paketa Python<\/a><\/noindex>, i cili plot\u00ebson scipy p\u00ebr llogaritjet statistike, duke p\u00ebrfshir\u00eb statistik\u00ebn p\u00ebrshkruese, si dhe vler\u00ebsimet dhe p\u00ebrfundimet p\u00ebr modelet statistike. Ai ka klasa dhe funksione p\u00ebr k\u00ebt\u00eb q\u00ebllim. Ai gjithashtu na lejon t\u00eb kryejm\u00eb teste dhe analiza statistike.<br \/>\nNumri i yjeve n\u00eb Github: 4 246<\/p>\n<h3>26. WhatWaf<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb mjet i avancuar p\u00ebr zbulimin e firewalls, q\u00eb mund ta p\u00ebrdorim p\u00ebr t\u00eb kuptuar n\u00ebse ekziston nj\u00eb firewall p\u00ebr aplikacionin web. Ai zbulohet firewall-in n\u00eb aplikacionin web dhe p\u00ebrpiqet t\u00eb zbuloj\u00eb nj\u00eb ose m\u00eb shum\u00eb rrug\u00eb t\u00eb anashkalimit p\u00ebr t\u00eb n\u00eb q\u00ebllimin e specifikuar.<\/p>\n<p>Numri i yjeve n\u00eb Github: 1300<\/p>\n<h3>27. Chainer<\/h3>\n<p>\nChainer \u00ebsht\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/deep-learning-with-python-libraries\/\">nj\u00eb mjedis p\u00ebr thellim t\u00eb m\u00ebsimit<\/a><\/noindex>, i orientuar ndaj fleksibilitetit. Ai bazohet n\u00eb Python dhe ofron API t\u00eb diferencuara, t\u00eb bazuara n\u00eb qasjen define-by-run. Chainer gjithashtu ofron API t\u00eb nivelit t\u00eb lart\u00eb, t\u00eb orientuara nga objektet p\u00ebr nd\u00ebrtimin dhe m\u00ebsimin e rrjeteve nervore. Kjo \u00ebsht\u00eb nj\u00eb struktur\u00eb e fuqishme, fleksibile dhe intuitivisht t\u00eb kuptueshme p\u00ebr rrjetet nervore.<br \/>\nNumri i yjeve n\u00eb Github: 5,054<\/p>\n<h3>28. Rebound<\/h3>\n<p>\nRebound \u00ebsht\u00eb nj\u00eb mjet p\u00ebr komand\u00ebn e linj\u00ebs. Kur merrni nj\u00eb mesazh p\u00ebr gabim kompajler, ai menj\u00ebher\u00eb merr rezultatet nga staku i mbushur. P\u00ebr ta p\u00ebrdorur k\u00ebt\u00eb, mund t\u00eb p\u00ebrdorni komand\u00ebn rebound p\u00ebr t\u00eb ekzekutuar skedarin tuaj. Ky \u00ebsht\u00eb nj\u00eb nga 50 projektet m\u00eb t\u00eb njohura me burim t\u00eb hapur Python t\u00eb vitit 2018. P\u00ebr m\u00eb tep\u00ebr, ai k\u00ebrkon Python 3.0 ose m\u00eb lart. Llojet e skedareve t\u00eb mb\u00ebshtetura: Python, Node.js, Ruby, Golang dhe Java.<\/p>\n<p>Numri i yjeve n\u00eb Github: 2913<\/p>\n<h3>29. Detectron<\/h3>\n<p>\nDetectron kryen zbulimin modern t\u00eb objekteve ( gjithashtu implementon mask\u00ebn R-CNN). Ky \u00ebsht\u00eb nj\u00eb softuer nga K\u00ebrkimi p\u00ebr Inteligjenc\u00eb Artificiale Facebook (FAIR), i shkruar n\u00eb Python dhe funksionon n\u00eb platform\u00ebn Caffe2 Deep Learning. Q\u00ebllimi i Detectron \u00ebsht\u00eb t\u00eb ofroj\u00eb nj\u00eb baz\u00eb kodimi me cil\u00ebsi t\u00eb lart\u00eb dhe t\u00eb lart\u00eb t\u00eb performanc\u00ebs p\u00ebr studimin e zbulimit t\u00eb objekteve. Ai \u00ebsht\u00eb fleksib\u00ebl dhe implementon algoritmet e m\u00ebposhtme \u2013 maska R-CNN, RetinaNet, R-CNN m\u00eb t\u00eb shpejt\u00eb, RPN, R-CNN m\u00eb t\u00eb shpejt\u00eb, R-FCN.<\/p>\n<p>Numri i yjeve n\u00eb Github: 21 873<\/p>\n<h3>30. Python-fire<\/h3>\n<p>\nKjo \u00ebsht\u00eb nj\u00eb bibliotek\u00eb p\u00ebr gjenerimin automatizuar t\u00eb CLI (interfeseve t\u00eb komandave) nga ndonj\u00eb objekt Python. Ajo gjithashtu ju lejon t\u00eb zhvilloni dhe debuggoni kodin, si dhe t\u00eb eksploroni kodin ekzistues ose t\u00eb ktheni kodin e huaj n\u00eb CLI. Python Fire e b\u00ebn t\u00eb leht\u00eb kalimin mes Bash dhe Python, si dhe leht\u00ebson p\u00ebrdorimin e REPL.<br \/>\nNumri i yjeve n\u00eb Github: 15,299<\/p>\n<h3>31. Pylearn2<\/h3>\n<p>\nPylearn2 \u00ebsht\u00eb nj\u00eb bibliotek\u00eb m\u00ebsimi makinerie, e nd\u00ebrtuar kryesisht mbi Theano. Q\u00ebllimi i saj \u00ebsht\u00eb t\u00eb leht\u00ebsoj\u00eb eksplorimin e ML. Lejon shkruajtjen e algoritmeve dhe modeleve t\u00eb reja.<br \/>\nNumri i yjeve n\u00eb Github: 2,681<\/p>\n<h3>32. Matplotlib<\/h3>\n<p>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-matplotlib-tutorial\/\">Matplotlib<\/a><\/noindex> \u00ebsht\u00eb nj\u00eb bibliotek\u00eb 2D p\u00ebr vizatimin n\u00eb Python - ajo gjeneron publikime cil\u00ebsore n\u00eb formate t\u00eb ndryshme.<\/p>\n<p>Numri i yjeve n\u00eb Github: 10,072<\/p>\n<h3>33. Theano<\/h3>\n<p>\nTheano \u00ebsht\u00eb nj\u00eb bibliotek\u00eb p\u00ebr manipulimin e shprehjeve matematikore dhe matricore. \u00cbsht\u00eb gjithashtu nj\u00eb kompilator optimizues. Theano p\u00ebrdor <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-numpy-tutorial\/\">NumPy<\/a><\/noindex>-sintaks\u00eb t\u00eb ngjashme p\u00ebr t\u00eb shprehur llogaritjet dhe i kompilon ato p\u00ebr t'u punuar n\u00eb arkitektura CPU ose GPU. Kjo \u00ebsht\u00eb nj\u00eb bibliotek\u00eb m\u00ebsimi makinerie Python me kod t\u00eb hapur, e shkruar n\u00eb Python dhe CUDA dhe q\u00eb punon n\u00eb Linux, macOS dhe Windows.<\/p>\n<p>Numri i yjeve n\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/Theano\/Theano\">Github<\/a><\/noindex>: 8,922<\/p>\n<h3>34. Multidiff<\/h3>\n<p>\nMultidiff \u00ebsht\u00eb zhvilluar p\u00ebr t\u00eb leht\u00ebsuar kuptimin e t\u00eb dh\u00ebnave t\u00eb orientuara nga makina. Ajo ndihmon n\u00eb shikimin e ndryshimeve midis shum\u00eb objekteve, duke kryer diferencat midis objekteve p\u00ebrkat\u00ebse dhe m\u00eb pas duke i shfaqur ato. Kjo vizualizim na lejon t\u00eb k\u00ebrkojm\u00eb modele n\u00eb protokollet tona ose n\u00eb formate skedar\u00ebsh jokoh\u00ebzore. Ajo gjithashtu p\u00ebrdoret kryesisht p\u00ebr inxhinierimin e prapambetur dhe analiz\u00ebn e t\u00eb dh\u00ebnave binare.<\/p>\n<p>Numri i yjeve n\u00eb Github: 262<\/p>\n<h3>35. Som-tsp<\/h3>\n<p>\nKy projekt \u00ebsht\u00eb i dedikuar p\u00ebr p\u00ebrdorimin e hartave vet\u00eb-organizuese p\u00ebr t\u00eb zgjidhur problemin e kommi-voyagerit. Duke p\u00ebrdorur SOM, ne gjejm\u00eb zgjidhje jo optimale p\u00ebr problemin TSP dhe e p\u00ebrdorim formatin .tsp p\u00ebr k\u00ebt\u00eb q\u00ebllim. TSP \u00ebsht\u00eb nj\u00eb problem NP-i plot\u00eb, dhe me rritjen e numrit t\u00eb qyteteve b\u00ebhet gjithnj\u00eb e m\u00eb e v\u00ebshtir\u00eb p\u00ebr tu zgjidhur.<\/p>\n<p>Numri i yjeve n\u00eb Github: 950<\/p>\n<h3>36. Photon<\/h3>\n<p>\nPhoton \u00ebsht\u00eb nj\u00eb skaner web jasht\u00ebzakonisht i shpejt\u00eb, i zhvilluar p\u00ebr OSINT. Ai mund t\u00eb merret me URL-t\u00eb, URL-t\u00eb me parametra, informacione Intel, skedar\u00eb, \u00e7el\u00ebsa sekret\u00eb, skedar\u00eb JavaScript, p\u00ebrputhje me shprehje t\u00eb rregullta dhe subdomain. Informacioni i nxjerr\u00eb mund t\u00eb ruhet dhe t\u00eb eksportohen n\u00eb formatin json. Photon \u00ebsht\u00eb fleksib\u00ebl dhe i geni. Ju gjithashtu mund t\u00eb shtoni disa plugins n\u00eb t\u00eb.<\/p>\n<p>Numri i yjeve n\u00eb Github: 5714<\/p>\n<h3>37. Social Mapper<\/h3>\n<p>\nSocial Mapper \u00ebsht\u00eb nj\u00eb mjet p\u00ebr hartimin n\u00eb rrjetet sociale, i cili korrelaton profilet duke p\u00ebrdorur njohjen e fytyr\u00ebs. Ai b\u00ebn k\u00ebt\u00eb n\u00eb disa faqe interneti n\u00eb shkall\u00eb t\u00eb gjer\u00eb. Social Mapper automatizon k\u00ebrkimin e emrave dhe fotografive n\u00eb rrjetet sociale dhe m\u00eb pas p\u00ebrpiqet t\u00eb identifikoj\u00eb dhe grupoj\u00eb sakt\u00ebsisht prani t\u00eb dikujt. M\u00eb pas ai krijon nj\u00eb raport p\u00ebr kontroll nga ana e njeriut. Ky mjet \u00ebsht\u00eb i dobish\u00ebm n\u00eb industrin\u00eb e siguris\u00eb (p\u00ebr shembull, p\u00ebr phishing). Ai mb\u00ebshtet platforma si LinkedIn, Facebook, Twitter, Google Plus, Instagram, \u0412\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u0435, Weibo dhe Douban.<\/p>\n<p>Numri i yjeve n\u00eb Github: 2,396<\/p>\n<h3>38. Camelot<\/h3>\n<p>\nCamelot \u00ebsht\u00eb nj\u00eb bibliotek\u00eb Python q\u00eb ndihmon n\u00eb nxjerrjen e tabelave nga skedar\u00ebt PDF. Ajo punon me skedar\u00eb PDF tekstual\u00eb, por jo me dokumente t\u00eb skanuara. K\u00ebtu, \u00e7do tabel\u00eb \u00ebsht\u00eb nj\u00eb pandas DataFrame. P\u00ebrve\u00e7 k\u00ebsaj, mund t\u00eb eksportoni tabelat n\u00eb .json, .xls, .html ose .sqlite.<\/p>\n<p>Numri i yjeve n\u00eb Github: 2415<\/p>\n<h3>39. Lector<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb lexues Qt p\u00ebr t\u00eb lexuar libra elektronik\u00eb. Ai mb\u00ebshtet format e skedar\u00ebve .pdf, .epub, .djvu, .fb2, .mobi, .azw \/ .azw3 \/ .azw4, .cbr \/ .cbz dhe .md. N\u00eb Lector ka nj\u00eb dritare kryesore, shikim tabelash, shikim librash, shikim pa shp\u00ebrqendrime, mb\u00ebshtetje p\u00ebr sh\u00ebnime, shikim komik\u00ebsh dhe nj\u00eb dritare cil\u00ebsimesh. Ai gjithashtu mb\u00ebshtet sh\u00ebnimet, shikimin e profileve, redaktorin e metadata dhe fjalorin e integruar.<\/p>\n<p>Numri i yjeve n\u00eb Github: 835<\/p>\n<h3>40. m00dbot<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb bot Telegram p\u00ebr testimin e depresionit dhe ankthit nga vetvetja.<\/p>\n<p>Numri i yjeve n\u00eb Github: 145<\/p>\n<h3>41. Manim<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb motor animacioni p\u00ebr shpjegimin e videove matematikore, i cili mund t\u00eb p\u00ebrdoret p\u00ebr t\u00eb krijuar animacione t\u00eb sakta nga programimi. Ai p\u00ebrdor Python p\u00ebr k\u00ebt\u00eb.<\/p>\n<p>Numri i yjeve n\u00eb Github: 13 491<\/p>\n<h3>42. Douyin-Bot<\/h3>\n<p>\nNj\u00eb bot i shkruar n\u00eb Python p\u00ebr nj\u00eb aplikacion t\u00eb ngjash\u00ebm me Tinder. Zhvilluesit jan\u00eb nga Kina.<\/p>\n<p>Numri i yjeve n\u00eb Github: 5,959<\/p>\n<h3>43. XSStrike<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb paket\u00eb zbulimi t\u00eb skenar\u00ebve n\u00eb nd\u00ebrfaqe me kat\u00ebr analizuese t\u00eb shkruara me dor\u00eb. Ajo gjithashtu \u00ebsht\u00eb e pajisur me nj\u00eb gjenerues inteligjent t\u00eb t\u00eb dh\u00ebnave t\u00eb dobishme, nj\u00eb mekaniz\u00ebm t\u00eb fuqish\u00ebm fuzzing dhe nj\u00eb modul k\u00ebrkimi jasht\u00ebzakonisht t\u00eb shpejt\u00eb. N\u00eb vend q\u00eb t\u00eb futni t\u00eb dh\u00ebna t\u00eb dobishme dhe t\u00eb kontrolloni funksionalitetin e tyre, si\u00e7 b\u00ebjn\u00eb t\u00eb gjitha mjetet e tjera, XSStrike njeh p\u00ebrgjigjen me ndihm\u00ebn e disa analizueseve dhe pastaj p\u00ebrpunon t\u00eb dh\u00ebnat e dobishme q\u00eb do t\u00eb funksionojn\u00eb me siguri duke p\u00ebrdorur analiz\u00ebn kontekstuale t\u00eb integruar n\u00eb mekanizmin e fuzzing.<\/p>\n<p>Numri i yjeve n\u00eb Github: 7050<\/p>\n<h3>44. PythonRobotics<\/h3>\n<p>\nKy projekt \u00ebsht\u00eb nj\u00eb koleksion kode n\u00eb algoritmet e robotik\u00ebs me Python, si dhe algoritme t\u00eb navigacionit autonom.<\/p>\n<p>Numri i yjeve n\u00eb Github: 6,746<\/p>\n<h3>45. Google Images Download<\/h3>\n<p>\nGoogle Images Download \u00ebsht\u00eb nj\u00eb program Python p\u00ebr linj\u00ebn e komand\u00ebs q\u00eb k\u00ebrkon fjal\u00eb ky\u00e7e n\u00eb imazhet e Google dhe merr imazhe p\u00ebr ju. \u00cbsht\u00eb nj\u00eb program i vog\u00ebl pa var\u00ebsi, n\u00ebse ju nevojitet thjesht t\u00eb shkarkoni deri n\u00eb 100 imazhe p\u00ebr \u00e7do fjal\u00eb ky\u00e7e.<\/p>\n<p>Numri i yjeve n\u00eb Github: 5749<\/p>\n<h3>46. Trape<\/h3>\n<p>\nLejon gjurmimin dhe kryerjen e sulmeve inteligjente t\u00eb ingjinieris\u00eb sociale n\u00eb koh\u00eb reale. Kjo ndihmon n\u00eb zbardhjen se si kompanit\u00eb e m\u00ebdha t\u00eb internetit mund t\u00eb marrin informacion t\u00eb ndjesh\u00ebm dhe t\u00eb kontrollojn\u00eb p\u00ebrdoruesit pa dijenin\u00eb e tyre. Trape gjithashtu mund t\u00eb ndihmoj\u00eb n\u00eb gjurmimin e kriminel\u00ebve kibernetik\u00eb.<\/p>\n<p>Numri i yjeve n\u00eb Github: 4256<\/p>\n<h3>47. Xonsh<\/h3>\n<p>\nXonsh \u00ebsht\u00eb nj\u00eb gjuh\u00eb e komand\u00ebs dhe nj\u00eb shell komandash kryesore, nd\u00ebr-platformike me baz\u00eb n\u00eb Python. Ajo \u00ebsht\u00eb nj\u00eb superseti Python 3.5+ me primitive t\u00eb tjera shell, si n\u00eb Bash dhe IPython. Xonsh funksionon n\u00eb Linux, Mac OS X, Windows dhe sisteme t\u00eb tjera kryesore.<\/p>\n<p>Numri i yjeve n\u00eb Github: 3426<\/p>\n<h3>48. GIF p\u00ebr CLI<\/h3>\n<p>\nKjo k\u00ebrkon nj\u00eb GIF ose nj\u00eb video t\u00eb shkurt\u00ebr ose nj\u00eb k\u00ebrkes\u00eb, dhe me ndihm\u00ebn e API-s\u00eb Tenor GIF kjo shnd\u00ebrrohet n\u00eb grafik\u00eb ASCII t\u00eb animuar. P\u00ebrdor sekvenca escape ANSI p\u00ebr animim dhe ngjyr\u00eb.<\/p>\n<p>Numri i yjeve n\u00eb Github: 2,547<\/p>\n<h3>49. Cartoonify<\/h3>\n<p>\nDraw This \u2014 nj\u00eb kamer\u00eb Polaroid q\u00eb \u00ebsht\u00eb n\u00eb gjendje t\u00eb pikturoj\u00eb karikatura. Kjo p\u00ebrdor nj\u00eb rrjet nervor p\u00ebr t\u00eb njohur objektet, nj\u00eb grup t\u00eb dh\u00ebnash Google Quickdraw, nj\u00eb termoprinter dhe nj\u00eb Raspberry Pi. Quick, Draw! \u00ebsht\u00eb nj\u00eb loj\u00eb Google n\u00eb t\u00eb cil\u00ebn lojtar\u00ebt ftohen t\u00eb pikturojn\u00eb nj\u00eb imazh t\u00eb nj\u00eb objekti\/ideje dhe pastaj ai p\u00ebrpiqet t\u00eb guess se \u00e7far\u00eb paraqet, brenda 20 sekondave.<\/p>\n<p>Numri i yjeve n\u00eb Github: 1760<\/p>\n<h3>50. Zulip<\/h3>\n<p>\nZulip \u00ebsht\u00eb nj\u00eb aplikacion p\u00ebr biseda n\u00eb grup q\u00eb punon n\u00eb koh\u00eb reale dhe \u00ebsht\u00eb produktiv fal\u00eb bisedave me shum\u00eb deg\u00eb. Shum\u00eb kompani nga lista Fortune 500 dhe projekte me burim t\u00eb hapur e p\u00ebrdorin at\u00eb p\u00ebr biseda n\u00eb koh\u00eb reale q\u00eb mund t\u00eb p\u00ebrpunojn\u00eb mij\u00ebra mesazhe n\u00eb dit\u00eb.<\/p>\n<p>Numri i yjeve n\u00eb Github: 10,432<\/p>\n<h3>51. YouTube-dl<\/h3>\n<p>\nKjo \u00ebsht\u00eb nj\u00eb program me komand\u00eb q\u00eb mund t\u00eb shkarkoj\u00eb video nga YouTube dhe disa faqe t\u00eb tjera. Ai nuk \u00ebsht\u00eb i lidhur me nj\u00eb platform\u00eb t\u00eb caktuar.<\/p>\n<p>Numri i yjeve n\u00eb Github: 55,868<\/p>\n<h3>52. Ansible<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb sistem i thjesht\u00eb automatizimi IT q\u00eb mund t\u00eb menaxhoj\u00eb funksione t\u00eb tilla si: menaxhimi i konfigurimeve, vendosja e aplikacioneve, inicializimi i mjeteve n\u00eb cloud, p\u00ebrfundimi i detyrave t\u00eb ve\u00e7anta, automatizimi i rrjeteve dhe orkestrimi multikompjuterik.<\/p>\n<p>Numri i yjeve n\u00eb Github: 39,443<\/p>\n<h3>53. HTTPie<\/h3>\n<p>\nHTTPie \u00ebsht\u00eb nj\u00eb klient HTTP me komand\u00eb. Ai e thjeshton nd\u00ebrveprimin CLI me sh\u00ebrbimet web. Me komand\u00ebn http, na lejon t\u00eb d\u00ebrgojm\u00eb k\u00ebrkesa t\u00eb rast\u00ebsishme HTTP me sintaks\u00eb t\u00eb thjesht\u00eb dhe t\u00eb marrim output me ngjyra. Mund ta p\u00ebrdorim p\u00ebr testim, debuggim dhe nd\u00ebrveprim me server\u00ebt HTTP.<\/p>\n<p>Numri i yjeve n\u00eb Github: 43,199<\/p>\n<h3>54. Tornado Web Server<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb framework web, nj\u00eb lib\u00ebr i rrjetit asinkron p\u00ebr Python. Ai p\u00ebrdor hyrje\/dalje jo bllokuese p\u00ebr t'u zgjeruar n\u00eb m\u00eb shum\u00eb se nj\u00eb mij\u00eb lidhje t\u00eb hapura. Kjo e b\u00ebn at\u00eb nj\u00eb zgjedhje t\u00eb mir\u00eb p\u00ebr k\u00ebrkesa t\u00eb gjata dhe WebSockets.<\/p>\n<p>Numri i yjeve n\u00eb Github: 18,306<\/p>\n<h3>55. Requests<\/h3>\n<p>\nRequests \u00ebsht\u00eb nj\u00eb bibliotek\u00eb q\u00eb lejon d\u00ebrgimin e thjesht\u00eb t\u00eb k\u00ebrkesave HTTP\/1.1. Nuk ju nevojitet t\u00eb shtoni manualisht parametra n\u00eb URL-t\u00eb apo t\u00eb kodoni t\u00eb dh\u00ebna PUT dhe POST.<br \/>\nNumri i yjeve n\u00eb Github: 40,294<\/p>\n<h3>56. Scrapy<\/h3>\n<p>\nScrapy \u00ebsht\u00eb nj\u00eb framework i shpejt\u00eb dhe me nivel t\u00eb lart\u00eb p\u00ebr shfletimin e faqeve t\u00eb internetit - mund ta p\u00ebrdorni p\u00ebr t\u00eb shfletuar faqe web me q\u00ebllim nxjerrjen e t\u00eb dh\u00ebnave t\u00eb strukturuara. Ju gjithashtu mund ta p\u00ebrdorni p\u00ebr analiz\u00ebn e t\u00eb dh\u00ebnave, monitorimin dhe testimin automatizuar.<\/p>\n<p>Numri i yjeve n\u00eb Github: 34,493<br \/>\n<br \/>Burimi: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/edison\/blog\/477442\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>1. Flask \u042d\u0442\u043e \u043c\u0438\u043a\u0440\u043e-\u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a, \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u043d\u044b\u0439 \u043d\u0430 Python. \u041e\u043d \u043d\u0435 \u0438\u043c\u0435\u0435\u0442 \u0432\u0430\u043b\u0438\u0434\u0430\u0446\u0438\u0439 \u0434\u043b\u044f \u0444\u043e\u0440\u043c \u0438 \u0443\u0440\u043e\u0432\u043d\u044f \u0430\u0431\u0441\u0442\u0440\u0430\u043a\u0446\u0438\u0438 \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445, \u043d\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0430\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u043e\u0440\u043e\u043d\u043d\u0438\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f \u043e\u0431\u0449\u0438\u0445 \u0444\u0443\u043d\u043a\u0446\u0438\u0439. \u0418 \u0438\u043c\u0435\u043d\u043d\u043e \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u044d\u0442\u043e \u043c\u0438\u043a\u0440\u043e-\u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a. Flask \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d \u0434\u043b\u044f \u043f\u0440\u043e\u0441\u0442\u043e\u0433\u043e \u0438 \u0431\u044b\u0441\u0442\u0440\u043e\u0433\u043e \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0439, \u0430 \u0442\u0430\u043a\u0436\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u0443\u0435\u043c\u044b\u043c \u0438 \u043b\u0435\u0433\u043a\u0438\u043c. \u041e\u043d \u043e\u0441\u043d\u043e\u0432\u0430\u043d \u043d\u0430 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u0445 Werkzeug \u0438 Jinja2. \u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-53299","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"1.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/sq\/blog\/news\/56-proektov-na-python-s-otkrytym-ishodnym-kodom\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.1.1\" \/>\n\t\t<meta property=\"og:locale\" content=\"sq_AL\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c 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