JupyterHub is a way to serve Jupyter notebook for multiple users. JupyterHub manages a separate Jupyter environment for each user. It can be used in a class of students, a corporate data science group, or a scientific research group. It is a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.

LibrePythonista is an extension for LibreOffice Calc. The extension allows Interactive Python code to be run directly in a spreadsheet, including using Pandas and Matplotlib, allowing for creation of dataframes, series and graphs directly in a spreadsheet.

pgcli is a command-line PostgreSQL client with auto-completion and syntax colouring, built for quick interactive querying directly from the terminal. Features include:

• Context-aware suggestions that surface tables, columns or keywords as you type
• Fuzzy filter on history
• Syntax highlighting
• Multi-line editing
• Smart pager selection
• Auto switch to vertical output when a result exceeds terminal width
• Configurable row-limit prompt
• Primitive support for psql slash commands
• Optional warnings before destructive statements
• Rich configuration file for prompts and colours

DuckLake provides a lightweight one-stop solution for a data lake and catalog, similar to Delta Lake with Unity Catalog and Iceberg with Lakekeeper or Polaris, released under the MIT license. It includes an open table format but it’s also a data lakehouse format, meaning that it also contains a catalog to encode the schema of the data stored. It needs a storage layer (both blob storage and block-based storage work) and a catalog database (any SQL-compatible database works). The data files of DuckLake must be stored in Parquet. Similarly to other data lakehouse technologies, DuckLake does not support constraints, keys, or indexes. Currently, it can be exported into a DuckDB database and vanilla Parquet files. You can also use it for a “multiplayer DuckDB” setup with multiple DuckDB instances reading and writing the same dataset.

OTB is a community driven, extensible and heavily documented open-source project for remote sensing. It can process high resolution optical, multispectral and radar images at the terabyte scale. All of algorithms are accessible from QGIS, Python, the command line or C++. It’s available on Linux, Windows, and macOS (via Docker for ARM Mac computers). Features include:

• Features extraction
• Change detection
• Image manipulation
• Image Segmentation
• Hyperspectral processing
• Data pre-processing
• Data pre-processing
• SAR processing

Supported formats:

• Image formats supported by GDAL (tiff, hrd, img, data providers specifics …)
• Vector formats supported by GDAL/OGR (shapefile, sqlite, postgis …)
• Metadata formats supported by OSSIM and OSSIM plugins (Pléiades and other ADS sensors, DigitalGlobe sensors, NITF)
• Digital Elevation Models supported by OSSIM (SRTM, DTED and generic geotiff DEM)
• KMZ image export

pgModeler is an open-source, cross-platform database modeler designed specifically for PostgreSQL. Aiming to be a reference database design tool in the FOSS ecosystem for PostgreSQL, it offers a robust and feature-rich interface that enables efficient data modeling and rapid code deployment to servers. One of its standout features is reverse engineering, which allows users to generate visual representations of existing databases, making it easier to understand and modify complex structures. Additionally, pgModeler supports the generation of SQL scripts to synchronize a database model with an actual database through a process known as diff. Beyond its core modeling capabilities, the tool includes a minimalist yet functional database server administration module. This module enables users to execute SQL commands, browse databases, and handle data through a simple and intuitive user interface.

LosslessCut is a cross platform FFmpeg GUI for extremely fast and lossless operations on video, audio, subtitles and other related media files. The main feature is lossless trimming and cutting of video and audio files - good for saving space by rough-cutting large video files from a video camera, GoPro, drone, etc. It allows for quickly extracting the good parts from videos and discard many gigabytes of data without doing a slow re-encode and losing quality.

Don’t see a lot of Swiss army knives for code. Very neat in that regard.

A tool for enhancing Claude Code. Contribute to possibilities/claude-composer development by creating an account on GitHub.

Typing practice lessons to improve your speed and accuracy.

Typing practice lessons to improve your speed and accuracy.

A CLI and local web plain text note-taking, bookmarking, archiving, and knowledge base application.

An API testing tool,similar to Postman, but local.