1. Pākeke
He micro-framework i kākau ʻia ma Python. ʻAʻohe ona hōʻoia no nā palapala a ʻaʻohe papa abstraction database, akā hiki iā ʻoe ke hoʻohana i nā hale waihona puke ʻekolu no ka hana maʻamau. A ʻo ia ke kumu he micro framework. Hoʻolālā ʻia ʻo Flask e hana maʻalahi a wikiwiki hoʻi i ka hana ʻana i nā noi, ʻoiai he scalable a māmā hoʻi. Hoʻokumu ʻia ia ma nā papahana Werkzeug a me Jinja2. Hiki iā ʻoe ke heluhelu hou aku e pili ana iā ia ma ka ʻatikala hou loa a DataFlair e pili ana .
2. Keras
ʻO Keras kahi waihona pūnaewele neural open source i kākau ʻia ma Python. He mea hoʻohana, modular a extensible, a hiki ke holo ma luna o TensorFlow, Theano, PlaidML a i ʻole Microsoft Cognitive Toolkit (CNTK). Loaʻa iā Keras nā mea a pau: nā hiʻohiʻona, nā pahuhopu a me nā hana hoʻoili, nā optimizers a me nā mea hou aku. Kākoʻo pū ʻo ia i nā neural network convolutional a me recurrent.
Ke hana nei ma ka papahana open source hou loa e pili ana iā Keras - .
Ua unuhi ʻia ka ʻatikala me ke kākoʻo o EDISON Software, ʻo ia , a me .
3.SpaCy
He waihona lako polokalamu wehe ia e pili ana a kākau ʻia ma Python a me Cython. ʻOiai ʻoi aku ka maikaʻi o ka NLTK no ke aʻo ʻana a me ka noiʻi ʻana, ʻo ka hana a spaCy ka hāʻawi ʻana i nā polokalamu no ka hana ʻana. Eia hou, ʻo Thinc ka hale waihona aʻo mīkini a spaCy e hāʻawi ana i nā hiʻohiʻona CNN no ka hōʻailona hapa o ka ʻōlelo, ka parsing hilinaʻi, a me ka ʻike inoa inoa.
4. Sentry
Hāʻawi ʻo Sentry i ka nānā ʻana i nā kumu kumu open source i hiki iā ʻoe ke ʻike a hoʻāʻo i nā pōpoki i ka manawa maoli. E hoʻouka wale i ka SDK no kāu (mau) ʻōlelo a i ʻole (mau) hana a hoʻomaka. Hāʻawi ia iā ʻoe e hopu i nā ʻokoʻa ʻole i hoʻohana ʻia, e nānā i nā ʻāpana hoʻopaʻa ʻana, e nānā i ka hopena o kēlā me kēia pilikia, e nānā i nā pōpoki ma nā papahana, hāʻawi i nā pilikia, a me nā mea hou aku. ʻO ka hoʻohana ʻana iā Sentry ʻo ia ka liʻiliʻi o nā pōpoki a ʻoi aku ka nui o nā code i hoʻouna ʻia.
5.OpenCV
ʻO OpenCV kahi ʻike kamepiula kumu a me ka waihona aʻo mīkini. Aia ka waihona ma mua o 2500 optimized algorithms no nā hana ʻike kamepiula e like me ka ʻike ʻana a me ka ʻike ʻana, ka hoʻokaʻawale ʻana i nā ʻano hana like ʻole o ke kanaka, ka nānā ʻana i ka neʻe kamera, ka hana ʻana i nā hiʻohiʻona XNUMXD, ke humuhumu kiʻi e kiʻi i nā kiʻi kiʻekiʻe, a me nā hana ʻē aʻe he nui. . Loaʻa ka waihona no nā ʻōlelo he nui e like me Python, C++, Java, etc.
Ka helu o nā hōkū ma Github: 39585
Ua hana mua paha ʻoe ma kekahi papahana OpenCV? Eia kekahi -
6. Nilearn
He module kēia no ka hoʻokō maʻalahi a me ka hoʻokō ʻana i ka ʻikepili helu ma ka ʻikepili NeuroImaging. Hāʻawi ia iā ʻoe e hoʻohana i ka scikit-learn no nā helu helu multivariate no ka hoʻohālikelike wānana, ka hoʻokaʻawale ʻana, ka decoding a me ka nānā ʻana i ka pilina. ʻO Nilearn kahi ʻāpana o ka kaiaola NiPy, kahi kaiāulu i hoʻolaʻa ʻia no ka hoʻohana ʻana iā Python e kālailai i ka ʻikepili neuroimaging.
Ka helu o nā hōkū no kēlā me kēia : 549
7. scikit-Aʻo
ʻO Scikit-Learn kahi papahana Python open source. He hale waihona aʻo mīkini kaulana loa kēia no Python. Hoʻohana pinepine ʻia me NumPy a me SciPy, hāʻawi ʻo SciPy i ka hoʻohālikelike, regression a me ka clustering - kākoʻo ia , nā ululāʻau random, ka wikiwiki gradient, k-means a me DBSCAN. Ua kākau ʻia kēia waihona ma Python a me Cython.
Ka helu o nā hōkū ma Github: 37,144
8. PyTorch
ʻO PyTorch kekahi hale waihona aʻo mīkini wehe i kākau ʻia ma Python a no Python. Hoʻokumu ʻia ia ma ka waihona Torch a maikaʻi no nā wahi e like me ka ʻike kamepiula a me ka hoʻoponopono ʻōlelo kūlohelohe (NLP). Loaʻa iā ia kahi C++ frontend.
Ma waena o nā hiʻohiʻona ʻē aʻe, hāʻawi ʻo PyTorch i ʻelua mau hiʻohiʻona kiʻekiʻe:
- Kiʻekiʻe GPU-Accelerated Tensor Computing
- Nā pūnaewele neural hohonu
Ka helu o nā hōkū ma Github: 31
9. Librosa
ʻO Librosa kekahi o nā hale waihona puke python maikaʻi loa no ke mele a me ka loiloi leo. Loaʻa iā ia nā mea pono i hoʻohana ʻia no ka loaʻa ʻana o ka ʻike mai ke mele. Ua kākau maikaʻi ʻia ka waihona a loaʻa nā kumu aʻo a me nā laʻana e maʻalahi ai kāu hana.
Ka helu o nā hōkū ma Github: 3107
Ka hoʻokō ʻana i kahi papahana Python open source a me Librosa - .
10. Gensim
ʻO Gensim kahi waihona Python no ka hoʻohālike kumuhana, ka helu helu palapala, a me ka ʻimi like ʻana no nā hui nui. Kuhi ʻia ia i ka NLP a me nā kaiāulu hoʻihoʻi ʻike. He pōkole ʻo Gensim no ka "hana like." Ma mua, ua hana ʻo ia i kahi papa inoa pōkole o nā ʻatikala e like me kēia ʻatikala. ʻO Gensim maʻemaʻe, kūpono a hiki ke hoʻonui. Hāʻawi ʻo Gensim i kahi hoʻokō kūpono a maʻalahi hoʻi i ka hoʻohālike semantic i mālama ʻole ʻia mai ka kikokikona maʻamau.
Ka helu o nā hōkū ma Github: 9
11. ʻO Django
he papahana Python kiʻekiʻe e paipai ana i ka hoʻomohala wikiwiki ʻana a manaʻoʻiʻo i ke kumu DRY (Mai Hana Hou iā ʻoe iho). He mana ikaika loa a hoʻohana nui ʻia no Python. Hoʻokumu ʻia ia ma ke ʻano MTV (Model-Template-View).
Ka helu o nā hōkū ma Github: 44
12. ʻIke alo
He papahana kaulana ka ʻike maka ma GitHub. Hoʻomaopopo maʻalahi a hoʻohana i nā maka me ka Python/laina kauoha a hoʻohana i ka waihona ʻike maka maʻalahi loa o ka honua e hana pēlā. Hoʻohana kēia i ka dlib me ke aʻo hohonu e ʻike i nā maka me ka 99,38% pololei i ka benchmark Wild.
Ka helu o nā hōkū ma Github: 28,267
13. ʻOki Kuki
ʻO Cookiecutter kahi mea pono laina kauoha e hiki ke hoʻohana ʻia e hana i nā papahana mai nā templates (cookiecutters). ʻO kekahi laʻana, ʻo ia ka hana ʻana i kahi papahana puʻupuʻu mai kahi hoʻohālike papahana pūʻulu. ʻO kēia nā ʻōkuhi cross-platform, a hiki i nā ʻōkuhi papahana ma nā ʻōlelo a i ʻole ka hōʻailona markup, e like me Python, JavaScript, HTML, Ruby, CoffeeScript, RST, a me Markdown. Hiki iā ʻoe ke hoʻohana i nā ʻōlelo he nui i ka hoʻohālike papahana like.
Ka helu o nā hōkū ma Github: 10
14. Nā Panda
ʻO Pandas kahi waihona ʻikepili a me ka waihona manipulation no Python e hāʻawi ana i nā hoʻolālā ʻikepili i kapa ʻia a me nā hana helu.
Ka helu o nā hōkū ma Github: 21,404
ʻO ka papahana open source Python e hoʻāʻo iā Pandas -
15. Pipenv
Ua hoʻohiki ʻo Pipenv e lilo i mea hana mākaukau i manaʻo ʻia e lawe mai i ka maikaʻi o nā honua paʻi āpau i ka honua o Python. He mau kala maikaʻi kona terminal a hoʻohui iā Pipfile, pip a me virtualenv i hoʻokahi kauoha. Hoʻokumu a hoʻokele ia i kahi kaiapuni virtual no kāu mau papahana a hāʻawi i nā mea hoʻohana i kahi ala maʻalahi e hoʻopilikino i kā lākou wahi hana.
Ka helu o nā hōkū ma Github: 18,322
16. SimpleCoin
ʻO ia kahi hoʻokō Blockchain no ka cryptocurrency i kūkulu ʻia ma Python, akā maʻalahi, palekana, a piha ʻole. ʻAʻole i manaʻo ʻia ʻo SimpleCoin no ka hoʻohana ʻana i ka hana. ʻAʻole no ka hoʻohana ʻana i ka hana, ua manaʻo ʻia ʻo SimpleCoin no nā kumu hoʻonaʻauao a e hana wale i ka blockchain hana i hiki ke maʻalahi a maʻalahi. Hāʻawi ia iā ʻoe e mālama i nā hashes mined a hoʻololi iā lākou no kekahi kālā i kākoʻo ʻia.
Ka helu o nā hōkū ma Github: 1343
17. Pyray
He hale waihona puke 3D i kākau ʻia ma vanilla Python. Hāʻawi ia i 2D, 3D, nā mea kiʻekiʻe a me nā hiʻohiʻona ma Python a me ka animation. Loaʻa iā mākou ma ke aupuni o nā wikiō i hana ʻia, nā pāʻani wikiō, nā hoʻohālikelike kino a me nā kiʻi nani. Nā koi no kēia: PIL, numpy a scipy.
Ka helu o nā hōkū ma Github: 451
18. MicroPython
ʻO MicroPython ka Python no nā microcontrollers. He hoʻokō maikaʻi ia o Python3 e hele mai me nā pūʻolo he nui mai ka waihona maʻamau Python a ua hoʻopaʻa ʻia e holo ma luna o nā microcontrollers a ma nā wahi i hoʻopaʻa ʻia. ʻO Pyboard kahi papa uila liʻiliʻi e holo ana i ka MicroPython ma ka metala ʻole i hiki iā ia ke hoʻomalu i nā ʻano papahana uila āpau.
Ka helu o nā hōkū no kēlā me kēia : 9,197
19. Kivy
He hale waihona puke ʻo Kivy no ka hoʻomohala ʻana i nā polokalamu kelepona a me nā noi lehulehu ʻē aʻe me kahi mea hoʻohana kūlohelohe (NUI). Loaʻa iā ia kahi waihona kiʻi, nā koho widget, kahi ʻōlelo Kv waena no ka hana ʻana i kāu mau widget ponoʻī, kākoʻo no ka ʻiole, keyboard, TUIO, a me nā hanana multi-touch. He hale waihona puke ia no ka hoʻomohala noiʻi wikiwiki me nā mea hoʻohana hou. He cross-platform, pāʻoihana-aloha, a GPU-wikiwiki.
Ka helu o nā hōkū ma Github: 9
20. Kōkuhi
ʻO Dash by Plotly kahi papahana noi pūnaewele. Kūkulu ʻia ma luna o Flask, Plotly.js, React a me React.js, hiki iā mākou ke hoʻohana iā Python e kūkulu i nā dashboards. Loaʻa iā ia nā mana Python a me R i ka nui. Hāʻawi ʻo Dash iā ʻoe e kūkulu, hoʻāʻo, hoʻolaha a hōʻike me ka ʻole o DevOps, JavaScript, CSS, a i ʻole CronJobs. He ikaika ka Dash, hiki ke maʻalahi, maʻalahi a maʻalahi e hoʻokele. He kumu hamama no hoi.
Ka helu o nā hōkū ma Github: 9,883
21. Makele
ʻO Magenta kahi papahana noiʻi open source e kālele ana i ke aʻo ʻana i ka mīkini ma ke ʻano he mea hana i ka hana hana. Hiki iā ʻoe ke hana i nā mele a me nā kiʻi me ka hoʻohana ʻana i ka mīkini aʻo. ʻO Magenta kahi waihona Python i hoʻokumu ʻia ma TensorFlow, me nā pono hana no ka hana ʻana me ka ʻikepili maka, e hoʻohana ana iā ia e hoʻomaʻamaʻa i nā mīkini mīkini a hana i nā ʻike hou.
22. R-CNN mask
He hoʻokō kēia o ka mask R-CNNN ma Python 3, TensorFlow a me Keras. Lawe ke kumu hoʻohālike i kēlā me kēia mea i loko o ka raster a hana i nā pahu hoʻopaʻa a me nā masks māhele no ia. Hoʻohana ia i ka Feature Pyramid Network (FPN) a me ka iwi kuamoʻo ResNet101. He maʻalahi ke code e hoʻonui. Hāʻawi pū kēia papahana i kahi ʻikepili Matterport3D o nā wahi 3D i kūkulu hou ʻia i hopu ʻia e nā mea kūʻai aku...
Ka helu o nā hōkū ma Github: 14
23. TensorFlow Models
He waihona kēia me nā hiʻohiʻona like ʻole i hoʻokō ʻia ma TensorFlow - nā kumu hoʻohālike a me nā noiʻi. Loaʻa iā ia nā laʻana a me nā haʻawina. Hoʻohana nā kumu hoʻohālike kūhelu i nā API TensorFlow kiʻekiʻe. ʻO nā hiʻohiʻona noiʻi nā hiʻohiʻona i hoʻokō ʻia ma TensorFlow e nā mea noiʻi no kā lākou kākoʻo a i ʻole ke kākoʻo nīnau a me nā nīnau.
Ka helu o nā hōkū ma Github: 57
24. Snallygaster
ʻO Snallygaster kahi ala e hoʻonohonoho ai i nā pilikia me nā papa papahana. Mahalo i kēia, hiki iā ʻoe ke hana i kāu papa hoʻokele papahana ma GitHub, hoʻopaʻa a hoʻokaʻawale i kāu kahe hana. Hāʻawi ia iā ʻoe e hoʻokaʻawale i nā hana, hoʻonohonoho i nā papahana, hoʻomaʻamaʻa i ke kahe hana, ʻimi i ka holomua, kaʻana like i ke kūlana a hoʻopau hope. Hiki iā Snallygaster ke ʻimi i nā faila huna ma nā kikowaena HTTP - ʻimi ʻo ia i nā faila i loaʻa ma nā kikowaena pūnaewele ʻaʻole pono e ʻike ʻia e ka lehulehu a hiki ke hoʻopilikia i ka palekana.
Ka helu o nā hōkū ma Github: 1
25.Statsmodels
keia , ka mea e hoʻokō i ka scipy no ka helu helu helu, me nā ʻikepili wehewehe a me ka manaʻo a me ka inference no nā kumu hoʻohālike. Loaʻa iā ia nā papa a me nā hana no kēia kumu. Hiki iā mākou ke hana i nā hoʻokolohua helu a me ka noiʻi ʻana i ka ʻikepili helu.
Ka helu o nā hōkū ma Github: 4
26. WhatWaf
He mea paahana keia no ka ike ana i ka pale ahi e hiki ai ia makou ke hoohana i ka ike ina aia kekahi paahi palapala noi pūnaewele. ʻIke ʻo ia i kahi pā ahi i loko o kahi palapala noi pūnaewele a hoʻāʻo e ʻike i hoʻokahi a ʻoi aʻe paha ka hoʻoponopono ʻana no ia mea ma kahi pahuhopu i kuhikuhi ʻia.
Ka helu o nā hōkū ma Github: 1300
27. kaulahao
kaulahao— e pili ana i ka hikiwawe. Hoʻokumu ʻia ia ma Python a hāʻawi i nā API ʻokoʻa e pili ana i kahi ala wehewehe-by-run. Hāʻawi pū ʻo Chainer i nā API pili kiʻekiʻe no ke kūkulu ʻana a me ka hoʻomaʻamaʻa ʻana i nā pūnaewele neural. He mana ikaika, maʻalahi a intuitive no nā pūnaewele neural.
Ka helu o nā hōkū ma Github: 5,054
28. Rebound
ʻO Rebound kahi mea hana laina kauoha. Ke loaʻa iā ʻoe kahi hewa compiler, hoʻihoʻi koke ia i nā hopena mai ke kahe ʻana o ka waihona. No ka hoʻohana ʻana i kēia hiki iā ʻoe ke hoʻohana i ke kauoha rebound e hoʻokō i kāu faila. ʻO ia kekahi o nā papahana Python open source 50 kaulana loa o 2018. Eia hou, pono ia iā Python 3.0 a i ʻole. Nā ʻano faila i kākoʻo ʻia: Python, Node.js, Ruby, Golang a me Java.
Ka helu o nā hōkū ma Github: 2913
29. Mea ike
Hana ʻo Detectron i ka ʻike ʻana i nā mea hou (hoʻohana pū kekahi i ka mask R-CNN). ʻO ia ka polokalamu Facebook AI Research (FAIR) i kākau ʻia ma Python a e holo ana ma luna o ka Caffe2 Deep Learning platform. ʻO ka pahuhopu o Detectron ka hāʻawi ʻana i kahi codebase kūlana kiʻekiʻe, hana kiʻekiʻe no ka noiʻi ʻike ʻike mea. He maʻalahi a hoʻokō i nā algorithm e hiki mai ana - R-CNN mask, RetinaNet, wikiwiki R-CNN, RPN, wikiwiki R-CNN, R-FCN.
Ka helu o nā hōkū ma Github: 21
30. Python-ahi
He hale waihona puke kēia no ka hana ʻana i nā CLI (nā laina laina kauoha) mai (kekahi) mea Python. Hiki iā ʻoe ke hoʻomohala a me ka debug code, a me ka nānā ʻana i nā code i loaʻa a i ʻole e hoʻololi i ke code o kekahi i CLI. ʻO Python Fire ka mea maʻalahi e neʻe ma waena o Bash a me Python, a maʻalahi hoʻi e hoʻohana i ka REPL.
Ka helu o nā hōkū ma Github: 15
31. Pylearn2
ʻO Pylearn2 kahi waihona aʻo mīkini i kūkulu ʻia ma luna o Theano. ʻO kāna pahuhopu ka maʻalahi o ka noiʻi ML. Hiki iā ʻoe ke kākau i nā algorithms a me nā hiʻohiʻona hou.
Ka helu o nā hōkū ma Github: 2681
32. Matplotlib
He waihona kiʻi kiʻi 2D no Python - hoʻopuka ia i nā puke maikaʻi ma nā ʻano like ʻole.
Ka helu o nā hōkū ma Github: 10,072
33. Theano
He hale waihona puke ʻo Theano no ka hoʻoponopono ʻana i nā huaʻōlelo makemakika a me ka matrix. ʻO ia hoʻi kahi mea hoʻopili optimizing. Hoʻohana ʻo Theano -like syntax no ka hōʻike ʻana i ka helu ʻana a hōʻuluʻulu iā lākou e holo ma ka CPU a i ʻole ka GPU architecture. He waihona aʻo aʻo ʻo Python i kākau ʻia ma Python a me CUDA a holo ma Linux, macOS a me Windows.
Ka helu o nā hōkū no kēlā me kēia : 8,922
34. Multidiff
Hoʻolālā ʻia ʻo Multidiff e maʻalahi i ka ʻikepili pili i ka mīkini. Kōkua ia iā ʻoe e ʻike i nā ʻokoʻa ma waena o ka nui o nā mea ma ka hana ʻana i nā ʻokoʻa ma waena o nā mea pili a laila hōʻike iā lākou. Hāʻawi kēia hiʻohiʻona iā mākou e ʻimi i nā hiʻohiʻona i nā protocol proprietary a i ʻole nā ʻano faila maʻamau. Hoʻohana nui ʻia no ka ʻenekinia reverse a me ka nānā ʻana i ka ʻikepili binary.
Ka helu o nā hōkū ma Github: 262
35. Som-tsp
ʻO kēia papahana e pili ana i ka hoʻohana ʻana i nā palapala ʻāina hoʻonohonoho ponoʻī e hoʻoponopono i ka pilikia o ka mea kūʻai aku huakaʻi. Ke hoʻohana nei i ka SOM, ʻike mākou i nā hoʻonā sub-optimal i ka pilikia TSP a hoʻohana i ka format .tsp no kēia. He pilikia NP piha ka TSP a lilo i mea paʻakikī ke hoʻoponopono i ka piʻi ʻana o nā kūlanakauhale.
Ka helu o nā hōkū ma Github: 950
36. photon
ʻO Photon kahi mea nānā pūnaewele wikiwiki loa i hoʻolālā ʻia no OSINT. Hiki iā ia ke kiʻi i nā URL, nā URL me nā palena, ka ʻike Intel, nā faila, nā kī huna, nā faila JavaScript, nā pāʻani hōʻike maʻamau, a me nā subdomains. Hiki ke mālama ʻia ka ʻike i unuhi ʻia a lawe ʻia i ka format json. ʻO ka Photon ka maʻalahi a me ke akamai. Hiki iā ʻoe ke hoʻohui i kekahi mau plugins iā ia.
Ka helu o nā hōkū ma Github: 5714
37. Mapper ka nohona
ʻO ka Social Mapper kahi mea hana kaiapuni kaiapili e hoʻoponopono i nā ʻaoʻao me ka hoʻohana ʻana i ka ʻike maka. Hana ia i kēia ma nā pūnaewele like ʻole ma ka nui. Hoʻomaʻamaʻa ʻo Social Mapper i ka ʻimi ʻana i nā inoa a me nā kiʻi ma ka pāhana kaiapili a laila hoʻāʻo e kuhikuhi a hui pū i kahi noho o kekahi. A laila hoʻopuka i kahi hōʻike no ka loiloi kanaka. Pono kēia i ka ʻoihana palekana (e laʻa, phishing). Kākoʻo ia iā LinkedIn, Facebook, Twitter, Google Plus, Instagram, VKontakte, Weibo a me Douban platforms.
Ka helu o nā hōkū ma Github: 2,396
38. Camelota
ʻO Camelot kahi waihona Python e kōkua iā ʻoe e unuhi i nā papa mai nā faila PDF. Hoʻohana ia me nā faila PDF kikokikona, ʻaʻole naʻe nā palapala scanned. Eia kēlā me kēia pākaukau he pandas DataFrame. Eia hou, hiki iā ʻoe ke hoʻokuʻu i nā papa i .json, .xls, .html a i ʻole .sqlite.
Ka helu o nā hōkū ma Github: 2415
39. Ka mea heluhelu
He mea heluhelu Qt keia no ka heluhelu e-puke. Kākoʻo ia i ka .pdf, .epub, .djvu, .fb2, .mobi, .azw/.azw3/.azw4, .cbr/.cbz a me .md waihona. He puka makani nui ko Lector, he ʻike papaʻaina, he nānā puke, he hiʻohiʻona ʻole, kākoʻo hōʻike, he ʻike komikika, a he puka hoʻonohonoho. Kākoʻo ia i nā kaha puke, ka nānā ʻana i ka moʻolelo, ka mea hoʻoponopono metadata, a me kahi puke wehewehe ʻōlelo i kūkulu ʻia.
Ka helu o nā hōkū ma Github: 835
40.m00dbot
He Telegram bot kēia no ka hoʻāʻo ʻana iā ʻoe iho i ke kaumaha a me ka hopohopo.
Ka helu o nā hōkū ma Github: 145
41. Manim
He ʻenekini hana ia no ka wehewehe ʻana i nā wikiō makemakika hiki ke hoʻohana ʻia e hana i nā animation pololei ma ka papahana. Hoʻohana ʻo ia i ka Python no kēia.
Ka helu o nā hōkū ma Github: 13
42. Douyin-Bot
He bot i kākau ʻia ma Python no kahi noi e like me Tinder. Nā mea hoʻomohala mai Kina.
Ka helu o nā hōkū ma Github: 5,959
43. XSStrike
ʻO kēia kahi pūʻolo ʻike hōʻike hōʻailona paena me ʻehā mau parser kākau lima. Loaʻa iā ia kahi mīkini hoʻoili uku naʻauao, kahi ʻenekini fuzzing ikaika, a me kahi ʻenekini huli wikiwiki loa. Ma kahi o ka hoʻokomo ʻana i kahi uku uku a hoʻāʻo iā ia e hana e like me nā mea hana ʻē aʻe a pau, ʻike ʻo XSStrike i ka pane me ka hoʻohana ʻana i nā parsers he nui a laila e hana i ka uku uku, i hōʻoia ʻia e hana me ka hoʻohana ʻana i ka ʻikepili contextual i hoʻohui ʻia i ka mīkini fuzzing.
Ka helu o nā hōkū ma Github: 7050
44. PythonRobotics
ʻO kēia papahana kahi hōʻiliʻili o nā code ma Python robotics algorithms, a me nā algorithm navigation autonomous.
Ka helu o nā hōkū ma Github: 6,746
45. Hoʻoiho ʻia nā kiʻi Google
ʻO Google Images Download kahi papahana Python laina kauoha e ʻimi i nā kiʻi Google no nā huaʻōlelo a loaʻa nā kiʻi iā ʻoe. He polokalamu liʻiliʻi me ka hilinaʻi ʻole inā pono ʻoe e hoʻouka a hiki i 100 kiʻi no kēlā me kēia huaʻōlelo.
Ka helu o nā hōkū ma Github: 5749
46. ʻAha
Hāʻawi iā ʻoe e nānā a hoʻokō i nā hoʻouka ʻenehana ʻenehana akamai i ka manawa maoli. Kōkua kēia i ka hōʻike ʻana pehea e hiki ai i nā hui pūnaewele nui ke loaʻa ka ʻike koʻikoʻi a mālama i nā mea hoʻohana me ka ʻole o ko lākou ʻike. Hiki i ka Trape ke kōkua i ka hahai ʻana i nā cybercriminals.
Ka helu o nā hōkū ma Github: 4256
47. Xonsh
ʻO Xonsh kahi laina kauoha Unix-gazing cross-platform a me ka ʻōlelo shell e pili ana i ka Python. ʻO kēia kahi superset o Python 3.5+ me nā puʻupuʻu hou e like me nā mea i loaʻa ma Bash a me IPython. Holo ʻo Xonsh ma Linux, Max OS X, Windows a me nā ʻōnaehana nui ʻē aʻe.
Ka helu o nā hōkū ma Github: 3426
48. GIF no CLI
Pono ia i kahi GIF a i ʻole wikiō pōkole a i ʻole nīnau, a me ka hoʻohana ʻana i ka Tenor GIF API, ua hoʻololi ʻia i kahi kiʻi animated ASCII. Hoʻohana ia i nā kaʻina pakele ANSI no ka animation a me ke kala.
Ka helu o nā hōkū ma Github: 2,547
49. Hoʻākalakala
Draw He pahupaʻi kiʻi Polaroid kēia e hiki ke kaha kiʻi kiʻi. Hoʻohana ia i kahi pūnaewele neural no ka ʻike ʻana i nā mea, kahi ʻikepili Google Quickdraw, kahi paʻi wela a me kahi Raspberry Pi. Wikiwiki, Huki! He pāʻani Google e noi ana i nā mea pāʻani e kahakiʻi i ke kiʻi o kahi mea/manaʻo a laila e hoʻāʻo e koho i ka mea i hōʻike ʻia ma lalo o 20 kekona.
Ka helu o nā hōkū ma Github: 1760
50. Zulip
ʻO Zulip kahi polokalamu kamaʻilio pūʻulu e hana i ka manawa maoli a hana pū kekahi me nā kamaʻilio multi-threaded. Nui nā hui Fortune 500 a me nā papahana open source e hoʻohana iā ia no ke kamaʻilio manawa maoli e hiki ke mālama i nā tausani o nā leka i kēlā me kēia lā.
Ka helu o nā hōkū ma Github: 10,432
51. YouTube-dl
He papahana laina kauoha ia e hiki ke hoʻoiho i nā wikiō mai YouTube a me kekahi mau pūnaewele ʻē aʻe. ʻAʻole i hoʻopaʻa ʻia i kahi paepae kikoʻī.
Ka helu o nā hōkū ma Github: 55
52. Hiki
He ʻōnaehana IT automation maʻalahi ia e hiki ke mālama i nā hana penei: hoʻokele hoʻonohonoho, hoʻonohonoho noi, hāʻawi ʻana i ke ao, hana ad hoc, automation network, a me ka orchestration multi-site.
Ka helu o nā hōkū ma Github: 39,443
53. HTTPie
ʻO HTTPie kahi mea hoʻohana HTTP laina kauoha. He mea maʻalahi kēia i ka CLI e launa pū me nā lawelawe pūnaewele. No ke kauoha http, hiki iā mākou ke hoʻouna aku i nā noi HTTP kūʻokoʻa me kahi syntax maʻalahi, a loaʻa ka hopena kala. Hiki iā mākou ke hoʻohana iā ia e hoʻāʻo, debug a launa pū me nā kikowaena HTTP.
Ka helu o nā hōkū ma Github: 43
54. Pūnaehana Pūnaewele ʻo Tornado
He kahua pūnaewele, hale waihona pūnaewele asynchronous no Python. Hoʻohana ʻo ia i ka ʻupena I/O ʻaʻole i hoʻopaʻa ʻia e hoʻonui i nā kaukani o nā pilina wehe. He koho maikaʻi kēia no nā noi lōʻihi a me WebSockets.
Ka helu o nā hōkū ma Github: 18
55. Noi
ʻO nā noi kahi waihona e maʻalahi ai ka hoʻouna ʻana i nā noi HTTP/1.1. ʻAʻole pono ʻoe e hoʻohui lima i nā ʻāpana i nā URL a i ʻole e hoʻopili i ka ʻikepili PUT a me POST.
Ka helu o nā hōkū ma Github: 40
56. Ka'ili'ili
ʻO Scrapy kahi ʻōnaehana kolo wikiwiki a kiʻekiʻe - hiki iā ʻoe ke hoʻohana iā ia e ʻohi i nā pūnaewele e unuhi i ka ʻikepili i kūkulu ʻia. Hiki iā ʻoe ke hoʻohana iā ia no ka nānā ʻana i ka ʻikepili, ka nānā ʻana a me ka hoʻāʻo ʻana.
Ka helu o nā hōkū ma Github: 34,493
Source: www.habr.com