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Independent Greenhouse Gas emissions tracking.
An open source alternative to Tableau. Easily embedded as a component in web apps.
Graphic Walker is a different type of open-source alternative to Tableau. It allows data scientists to analyze data and visualize patterns with simple drag-and-drop operations.
Turn your pandas dataframe into a Tableau-style User Interface for visual analysis.
PyGWalker: A Python Library for Exploratory Data Analysis with Visualization
Storytelling, Data Journalism & Online Investigation - learn the basics of modern journalistic work with this new, immersive manual.
Open source UI for Postgres databases.
Mathesar is a straightforward open source tool that provides a spreadsheet-like interface to a PostgreSQL database. Our web-based interface helps you and your collaborators work with data more independently and comfortably – no technical skills needed.
You can use Mathesar to build data models, enter data, and even build reports. You host your own Mathesar installation, which gives you ownership, privacy, and control of your data.
The free AI encyclopedia.
AI tools, podcasts, prompts, newsletter, and movies.
The latest in Machine Learning
Official API for https://www.kaggle.com, accessible using a command line tool implemented in Python 3.
🦘 Explore multimedia datasets at scale.
Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.
A hyperparameter optimization framework. Optimize Your Optimization.
An open source hyperparameter optimization framework to automate hyperparameter search
Executable Diagrams.
Connect people and software together in a way that makes sense to everyone.
With JupyterHub you can create a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.
Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high-performance computing group.
JupyterHub brings the power of notebooks to groups of users. It gives users access to computational environments and resources without burdening the users with installation and maintenance tasks. Users - including students, researchers, and data scientists - can get their work done in their own workspaces on shared resources which can be managed efficiently by system administrators.
JupyterHub @ GitHub
csvkit is a suite of command-line tools for converting to and working with CSV, the king of tabular file formats.
Extract data from plots, images, and maps.
A web based tool to extract numerical data from plot images. Supports XY, Polar, Ternary diagrams and Maps.
It is often necessary to reverse engineer images of data visualizations to extract the underlying numerical data. WebPlotDigitizer is a semi-automated tool that makes this process extremely easy.
Level up your dbt™ skills on your own time with dbt Fundamentals.Learn Analytics Engineering with dbt.
YOLOv5 in PyTorch > ONNX > CoreML > TFLite.
YOLOv5 is the world's most loved vision AI, representing Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.
Welcome to the Python Graph Gallery, a collection of hundreds of charts made with Python. Charts are organized in about 40 sections and always come with their associated reproducible code. They are mostly made with Matplotlib and Seaborn but other library like Plotly are sometimes used.
Pipelined Relational Query Language, pronounced "Prequel".
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement. Like SQL, it's readable, explicit and declarative. Unlike SQL, it forms a logical pipeline of transformations, and supports abstractions such as variables and functions. It can be used with any database that uses SQL, since it compiles to SQL.
A faster way to build and share data apps.
Streamlit turns data scripts into shareable web apps in minutes.
All in pure Python. No front‑end experience required.