data-science
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.
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.
SpiffArena is a low(ish)-code software development platform for building, running, and monitoring executable diagrams. It is intended to support Citizen Developers and to enhance their ability to contribute to the software development process. Using tools that look a lot like flow-charts and spreadsheets, it is possible to capture complex rules in a way that everyone in your organization can see, understand, and directly execute.
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.
Findable, Accessible, Interoperable and Reusable Data. A complete open-source solution for your open and private data needs. French only for the time being, internationalization coming soon.
A next-generation crawling and spidering framework
The react library to build dashboards fast. Tremor lets you create simple and modular components to build insightful dashboards in a breeze. Fully open-source, made by data scientists and software engineers with a sweet spot for design.
Tutorials notebooks for data science
Open Source Business Intelligence
The simplest, fastest way to get business intelligence and analytics to everyone in your company 😋
Your Machine Learning and Data Science Community.
Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.
The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.