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Aug 5th, 2018
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  1. Top PyPI Disk Users:
  2. All of PyPI: : 2.03 TB
  3. mxnet-cu90: 89.35 GB
  4. frida: 86.18 GB
  5. mxnet-cu80: 77.33 GB
  6. mxnet-cu91: 70.94 GB
  7. mxnet-mkl: 67.96 GB
  8. mxnet-cu80mkl: 63.82 GB
  9. mxnet-cu90mkl: 61.83 GB
  10. mxnet-cu91mkl: 54.49 GB
  11. tf-nightly-gpu: 51.27 GB
  12. tensorflow-gpu: 43.04 GB
  13. mxnet-cu92: 39.51 GB
  14. tf-nightly: 33.51 GB
  15. mxnet-cu92mkl: 29.01 GB
  16. mxnet: 28.33 GB
  17. CodeIntel: 23.77 GB
  18. sirepo: 19.94 GB
  19. tensorflow: 19.47 GB
  20. lalsuite: 17.32 GB
  21. grpcio-tools: 15.91 GB
  22. mxnet-cu75: 13.24 GB
  23. cupy-cuda90: 11.9 GB
  24. scipy: 11.78 GB
  25. cupy-cuda91: 11.39 GB
  26. mxnet-cu75mkl: 10.93 GB
  27. codeforlife-portal: 10.44 GB
  28. pystan: 10.44 GB
  29. cmake: 10.26 GB
  30. tendenci: 10.25 GB
  31. casadi: 9.52 GB
  32. udata: 9.12 GB
  33. sickrage: 8.85 GB
  34. numpy: 8.46 GB
  35. cupy-cuda80: 8.34 GB
  36. matplotlib: 7.79 GB
  37. catboost: 7.6 GB
  38. opencv-python: 7.53 GB
  39. opencv-contrib-python: 7.25 GB
  40. torch: 7.15 GB
  41. rasterio: 6.8 GB
  42. tf-nightly-xla-gpu: 6.75 GB
  43. deepspeech-gpu: 6.56 GB
  44. snappy: 6.41 GB
  45. grpcio: 6.27 GB
  46. pandas: 5.58 GB
  47. beakerx: 5.21 GB
  48. cupy-cuda92: 5.17 GB
  49. Fiona: 5.16 GB
  50. metapy: 4.64 GB
  51. soxs: 4.59 GB
  52. python-libsbml-experimental: 4.42 GB
  53. tulipgui-python: 4.31 GB
  54. appdynamics-bindeps-linux-x64: 4.09 GB
  55. inlineplz: 4.03 GB
  56. FlexGet: 4.01 GB
  57. streamcorpus_pipeline: 3.98 GB
  58. appdynamics-bindeps-linux-x86: 3.97 GB
  59. PyQt5: 3.82 GB
  60. lxml: 3.81 GB
  61. nlpia: 3.79 GB
  62. obspy: 3.78 GB
  63. gensim: 3.75 GB
  64. bohrium: 3.66 GB
  65. pyXSIM: 3.51 GB
  66. SimpleITK: 3.5 GB
  67. fsleyes: 3.48 GB
  68. Panda3D: 3.48 GB
  69. python-opensesame: 3.46 GB
  70. scattertext: 3.37 GB
  71. ka-lite-static: 3.28 GB
  72. pocketsphinx: 3.27 GB
  73. botocore: 3.26 GB
  74. Pillow: 3.24 GB
  75. ka-lite: 3.16 GB
  76. amplpy: 3.15 GB
  77. cntk-gpu: 3.12 GB
  78. Transcrypt: 3.1 GB
  79. cryptography-vectors: 3.04 GB
  80. pmagpy: 3.04 GB
  81. wxPython: 3.01 GB
  82. appdynamics-bindeps-osx-x64: 3 GB
  83. opencv-contrib-python-headless: 2.98 GB
  84. ccxt: 2.96 GB
  85. h2o: 2.83 GB
  86. astropy: 2.77 GB
  87. Cython: 2.74 GB
  88. turicreate: 2.66 GB
  89. cityenergyanalyst: 2.64 GB
  90. ortools: 2.6 GB
  91. nflgame: 2.56 GB
  92. opencv-python-headless: 2.45 GB
  93. gym-retro: 2.43 GB
  94. watchmaker: 2.4 GB
  95. reynir: 2.34 GB
  96. pycryptodome: 2.33 GB
  97. atx: 2.31 GB
  98. kivy.deps.gstreamer: 2.3 GB
  99. superset: 2.28 GB
  100. ccal: 2.23 GB
  101. pyqt5-tools: 2.2 GB
  102. lambda_packages: 2.2 GB
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