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mosaic

An extensible framework for linking databases and interactive views.

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zato

ESB, SOA, REST, APIs and Cloud Integrations in Python

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flower

Real-time monitor and web admin for Celery distributed task queue

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flask-jwt

JWT (JSON Web Tokens) for Flask applications

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dask

Parallel computing with task scheduling

Language:PythonBSD-3-Clause1213900

dc.js

Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js

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crossfilter

Fast n-dimensional filtering and grouping of records.

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dashboards

Responsive dashboard templates 📊✨

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dear-github

:incoming_envelope: An open letter to GitHub from the maintainers of open source projects

ipyparallel

IPython Parallel: Interactive Parallel Computing in Python

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tornaREST

A simple RESTful Web Service built with Tornado.

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heroku-flask

Flask starter kit for Heroku

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statsd

Daemon for easy but powerful stats aggregation

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aioamqp

AMQP implementation using asyncio

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tensorflow

An Open Source Machine Learning Framework for Everyone

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gogs

Gogs is a painless self-hosted Git service

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mongoengine

A Python Object-Document-Mapper for working with MongoDB

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rbokeh

R interface to Bokeh http://hafen.github.io/rbokeh/

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proof

A Python library for creating fast, repeatable and self-documenting data analysis pipelines.

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cytoolz

Cython implementation of Toolz: High performance functional utilities

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FeedEater

Library that smooths the task of getting heterogeneous data from various sources in to a heterogeneous format

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uwsgi

uWSGI application server container

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angular-material-dashboard

Angular admin dashboard with material design

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rq

Simple job queues for Python

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runc

CLI tool for spawning and running containers according to the OCI specification

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sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

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line-chart

Awesome charts for AngularJS.

Language:TypeScriptMIT120400

ag-grid

The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.

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airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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