The Best 290 Analytics Libraries

290 Components & Libraries

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Analytics Repositories

Apache Superset is a Data Visualization and Data Exploration Platform

A modern, enterprise-ready business intelligence web application. Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intellige…

Apache Spark - A unified analytics engine for large-scale data processing

Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for da…

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users leverage Redash to explore, query, visualize, and share…

Data Apps & Dashboards for Python. No JavaScript Required.

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. Scale up with Dash Enterprise when your Dash app is ready for d…

🦔 PostHog provides open-source product analytics, session recording, feature flagging and a/b testing that you can self-host.

Deploy a hobby instance in one line on Linux with Docker (recommended 4GB memory): We bring together all the tools and data in one place to help you build better products We <3 contributions big a…

Modin: Scale your Pandas workflows by changing a single line of code

By simply replacing the import statement, Modin offers users effortless speed and scale for their pandas workflows: If you want to install Modin with a specific engine, we recommend: Modin automatica…

An orchestration platform for the development, production, and observation of data assets.

Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports. You declare functions that you want to run and …

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

Portfolio and risk analytics in Python

At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple …

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python.

There are two types of APIs provided by the Delta Lake project. Delta Lake guarantees backward compatibility for all Delta Lake tables (i.e., newer versions of Delta Lake will always be able to read …

A Python based monitoring and tracking tool for Plex Media Server.

This is free software under the GPL v3 open source license. Feel free to do with it what you wish, but any modification must be open sourced. A copy of the license is included.

Portfolio analytics for quants, written in Python

Here's an example of a simple tear sheet analyzing a strategy: Output: Output: You can create 7 different report tearsheets: Let' create an html tearsheet Output will generate something like this: P…

DefectDojo is a DevSecOps and vulnerability management tool.

DefectDojo is maintained by: Core Moderators can help you with pull requests or feedback on dev ideas: Moderators can help you with pull requests or feedback on dev ideas:

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Then, define the BigDL model using Keras-style API:

Expressive analytics in Python at any scale.

Ibis is a Python library that provides a lightweight, universal interface for data wrangling. It helps Python users explore and transform data of any size, stored anywhere. Ibis has three primary com…

Carefully curated resource links for data science in one place

A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place. Homework 3

Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.

Not shown: management view, session view, full service view. (You'll need to install Shynet for yourself to see those!) Here's the information Shynet can give you about your visitors: Shynet isn't f…

The open standard for data logging

These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: From here, you can quickly log a dataset: And voilà, you now have a whyl…

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clic…

A site that displays up to date COVID-19 stats, powered by fastpages.

The content of this site shows statistics and reports regarding Covid-19.

[UNMAINTAINED] Automated machine learning for analytics & production

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" is …

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

This project provides This repo is maintained by me :-) Thanks In the pull request you should Thanks. In the pull request you should Please note that your app should not require high compute power as…

Diskover Community Edition - Open source file indexer, file search engine and data management and analytics powered by Elasticsearch

diskover is an open source file system indexer that uses Elasticsearch to index and manage data across heterogeneous storage systems. Using diskover, you are able to more effectively search and organ…

Open Source Pricing & Packaging Infrastructure

Lotus is a pricing and billing engine that enables SaaS companies to deploy, monitor, and experiment with custom subscriptions and complex models like usage-based pricing. Lotus provides a flexible a…

A flexible, easy to use, automation framework allowing users to integrate their capabilities and devices to cut through the repetitive, tedious tasks slowing them down. #nsacyber

This documentation is intended as a reference for app and workflow developers as well as project contributors and operators. Here you will find walkthroughs, tutorials and other useful information ab…

Analytics services for Django projects

Using an analytics service with a Django project means adding Javascript tracking code to the project templates. Of course, every service has its own specific installation instructions. Furthermore…

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

Pipeline Consists of various modules: EMR - I used a 3 node cluster with below Instance Types: Finally, pyspark uses python2 as default setup on EMR. To change to python3, setup environment variable…

Command line interface used by all WakaTime text editor plugins.

Install the plugin for your IDE/editor: Each plugin either comes pre-bundled with WakaTime CLI, or downloads the latest version from GitHub for you. Each plugin also has its own log file: Useful API …

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

or via pip (currently only available on Linux): The algorithms for the analytical derivatives of rigid-body dynamics algorithms are detailed here: