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GitHub / eric-erki / Out-of-Core-DataFrames-for-Python-visualize-and-explore-big-tabular-data-at-a-billion-rows-per-seco
Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Python
Repo Size: 111 MB
Dependencies:
53
Created: over 4 years ago
Updated: over 4 years ago
Last pushed: over 4 years ago
Last synced: about 1 year ago
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Dependencies
- vaex-core >=0.4.2
- vaex-arrow >=0.3.5,<0.4
- vaex-astro >=0.6.1,<0.7
- vaex-core >=1.0.0,<2
- vaex-hdf5 >=0.5.4,<0.6
- vaex-jupyter *
- vaex-ml ==0.6.1
- vaex-server >=0.2.1,<0.3
- vaex-viz >=0.3.7,<0.4
requirements-ml.txt
pypi
- annoy *
- catboost *
- lightgbm *
- scikit-learn *
requirements.txt
pypi
- aplus *
- astropy >=0.3
- cachetools *
- future >=0.15.2
- futures >=2.2.0
- h5py >=2.2.1
- ipyvuetify *
- matplotlib >=1.3.1
- numpy >=1.13
- pandas *
- pillow *
- progressbar2 *
- psutil >=1.2.1
- pyarrow >=0.12
- pyyaml *
- requests *
- s3fs <0.3
- scipy >=0.1
- tornado >4.1
requirements_rtd.txt
pypi
- annoy *
- aplus *
- astropy *
- cachetools *
- future *
- futures ==2.2.0
- ipython *
- jupyter *
- jupyter-sphinx >=0.1.2
- lightgbm *
- nbconvert >=5.1.1
- nbsphinx >=0.2.18
- numpy >=1.13
- pip >=10.0
- progressbar2 *
- psutil >=1.2.1
- pyyaml *
- sphinxcontrib-googleanalytics *
- tornado >=5.0
- xgboost *