The fastest way to build data apps in Python

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  • License: Apache 2
  • Author: Streamlit Inc
  • Requires: Python >=3.7, !=3.9.7
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Project description

Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours! All in pure Python. All for free.

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Avatar for jroes-streamlit from gravatar.com jroes-streamlit Avatar for kmcgrady from gravatar.com kmcgrady Avatar for tvst from gravatar.com tvst

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  • License: Apache 2
  • Author: Streamlit Inc
  • Requires: Python >=3.7, !=3.9.7

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1.52.1

1.52.0

1.51.0

1.50.0

1.49.1

1.49.0

1.48.1

1.48.0

1.47.1

1.47.0

1.46.1

1.46.0

1.45.1

1.45.0

1.44.1

1.44.0

1.43.2

1.43.1

1.43.0

1.42.2

1.42.1

1.42.0

1.41.1

1.41.0

1.40.2

1.40.1

1.40.0

1.39.1

1.39.0

1.38.0

1.37.1

1.37.0

1.36.0

1.35.0

1.34.0

1.33.0

1.32.2

1.32.2rc1 pre-release

1.32.1

1.32.0

1.31.1

1.31.0

1.30.0

1.29.0

1.28.2

1.28.1

1.28.0

1.27.2

1.27.1

1.27.0

1.26.1

1.26.0

1.25.0

1.24.1

1.24.0

1.23.1

1.23.0

1.22.0

1.21.0

1.20.0

1.19.0

1.18.1

1.18.1rc1 pre-release

1.18.0

1.17.0

1.16.0

1.15.2

1.15.2rc1 pre-release

1.15.1

1.15.0

1.14.1

1.14.1rc1 pre-release

1.14.0

1.14.0rc1 pre-release

1.13.0

1.13.0rc2 pre-release

1.13.0rc1 pre-release

1.12.2

This version

1.12.2rc2 pre-release

1.12.2rc1 pre-release

1.12.1

1.12.1rc1 pre-release

1.12.0

1.12.0rc2 pre-release

1.12.0rc1 pre-release

1.11.1

1.11.1rc1 pre-release

1.11.0

1.11.0rc1 pre-release

1.10.0

1.10.0rc2 pre-release

1.10.0rc1 pre-release

1.9.2

1.9.2rc1 pre-release

1.9.1

1.9.1rc2 pre-release

1.9.1rc1 pre-release

1.9.0

1.9.0rc1 pre-release

1.8.1

1.8.1rc1 pre-release

1.8.0

1.8.0rc1 pre-release

1.7.0

1.6.0

1.6.0rc4 pre-release

1.6.0rc3 pre-release

1.5.1

1.5.0

1.4.0

1.3.1

1.3.0

1.2.0

1.1.0

1.0.0

0.89.0

0.88.0

0.87.0

0.86.0

0.85.1

0.85.0

0.84.2

0.84.1

0.84.0

0.83.0

0.82.0

0.81.1

0.81.0

0.80.0

0.79.0

0.78.0

0.77.0

0.76.0

0.75.0

0.74.1

0.74.0

0.73.1

0.73.0

0.72.0

0.71.0

0.70.0

0.69.2

0.69.1

0.69.0

0.68.1

0.68.0

0.67.1

0.67.0

0.66.0

0.65.2

0.65.1

0.65.0

0.64.0

0.63.1

0.63.0

0.62.1

0.62.0

0.61.0

0.60.0

0.59.0

0.58.0

0.57.3

0.57.2

0.57.1

0.57.0

0.56.0

0.55.2

0.55.0

0.54.0

0.53.0

0.52.2

0.52.1

0.52.0

0.51.0

0.50.2

0.50.1

0.50.0

0.49.0

0.48.1

0.48.0

0.47.4

0.47.3

0.47.2

0.47.1

0.47.0

0.46.0

0.45.0

0.44.0

0.43.2

0.43.1

0.43.0

0.42.0

0.41.0

0.40.1

0.40.0

0.37.0

0.36.0

0.35.0

0.34.0

0.33.0

0.32.0

0.31.0

0.30.0

0.29.0

0.28.0

0.27.0

0.26.1

0.26.0

0.25.0

0.24.3

0.24.2

0.24.1

0.24.0

0.23.0

0.22.2

0.22.1

0.22.0

0.21.0

0.20.0

0.19.1

0.19.0

0.18.1

0.18.0

0.17.2

0.17.1

0.17.0

0.16.3

0.16.2

0.16.1

0.16.0

0.15.6

0.15.5

0.15.4

0.15.3

0.15.2

0.15.1

0.15.0

0.14.2

0.13.5

0.13.3

0.13.1

0.13.0

0.12.4

0.12.3

0.12.2

0.11.0

0.9.0

0.8.2

0.8

0.7

0.6

0.5

0.4

0.3

0.2

0.1

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