The Best 114 Data containers Libraries

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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…

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…

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

PostHog is available with hosting in the EU or US and is fully SOC 2 compliant. It's free to get started and comes with a generous monthly free tier: We're constantly adding new features, with web an…

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

With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date. Here is an example o…

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…

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 …

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

QuantStats: Portfolio analytics for quants ========================================== Here's an example of a simple tear sheet analyzing a strategy: Output: Output: You can create 7 different report …

DevSecOps, ASPM, Vulnerability Management. All on one platform.

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:

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…

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

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

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 there you have it, you now…

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…

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 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 …

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

A collection of Python demos for spatial data analytics, geostatistics and machine learning methods. Please cite as: I use these demonstrations for: Other resources that you might be interested in in…

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, …

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

With Intel(R) Extension for Scikit-learn, you can: To install Intel(R) Extension for Scikit-learn, run: The software acceleration is achieved through patching. It means, replacing the stock scikit-le…

A columnar data container that can be compressed.

Unfortunately, and due to lack of resources, the Blosc Development Team is unable to maintain this package anymore. During the last 10 years we managed to find resources (even if in a quite irregular…

do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

Cheers! Yes, the project will remain available for use, but please be aware that no new updates or security patches will be provided moving forward. Unfortunately, none that we are aware of. We want …

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

Here is some material about this topic if you want to read and listen to the theory instead of just doing hands-on: Here some more demos: The code is developed and tested on Mac and Linux operating s…

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).

Raster-based Spatial Analytics for Python

📍 Fast, Accurate Python library for Raster Operations 🎊 Free of GDAL / GEOS Dependencies 🌍 General-Purpose Spatial Processing, Geared Towards GIS Professionals Xarray-Spatial implements common raster…

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can…

Python CloudWatch Logging: Log Analytics and Application Intelligence

CloudWatch Logs is a log management service built into AWS. It is conceptually similar to services like Splunk, Datadog, and Loggly, but is more lightweight, cheaper, and tightly integrated with the …

a flask profiler which watches endpoint calls and tries to make some analysis.

It gives answers to these questions: In short, if you are curious about what your endpoints are doing and what requests they are receiving, give a try to flask-profiler. With flask-profiler's web int…