Open Source Data Science Tools

Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming. For additional examples, browse our complete API documentation, or check out our more detailed notebooks. cuDF can be installed with conda (miniconda, or the full Anaconda distribution) from the rapidsai channel. cuDF is supported only on Linux, and with Python versions 3.7 and later. The RAPIDS suite of open-source software libraries aims to enable the execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.

DAT Linux is a Linux distribution for data science. It brings together all your favourite open-source data science tools and apps into a ready-to-run desktop environment. https://datlinux.com It's based on Lubuntu, so it’s easy to install and use. The custom DAT Linux Control Panel provides a centralised one-stop-shop for running and managing dozens of data science programs. DAT Linux is perfect for students, professionals, academics, or anyone interested in data science who doesn’t want to spend endless hours downloading, installing, configuring, and maintaining applications from a range of sources, each with different technical requirements and set-up challenges.

IT'S HERE-----FINALLY. AWA-Core 2026 is here with a totally new architecture. The core is now in Client/Server architecture and open to other applications (including yours). New interfaces for the server and client sides. Please, go to our youTube channel to see many tutorials about this new release. Don't waste your time trying things and clicking everywhere. Wait for our tutorials, install AWA-Core on a single PC or in a complete C/S architecture (Servers provided) and run powerfull projects. Check youTube channel @ImprovingFactories for tutorials (they're all coming). Stay tuned. And don't forget. AWA-Core is a cashback software. You can install it and earn money with. More than an Historian... AWA-Core (Another Way of Automation) is a complete suite that allows engineers, PLC programmers and factory designers to create huge projects for retrieving data, creating graphics, automatic scripts, exports and data links.

xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable. Simple tasks should be easy. Performance trade offs should be exposed in the CLI interface. Composition should not come at the expense of performance. Let's say you're playing with some of the data from the Data Science Toolkit, which contains several CSV files. Maybe you're interested in the population counts of each city in the world. So grab the data and start examining it. The next thing you might want to do is get an overview of the kind of data that appears in each column. The stats command will do this for you. The xsv table command takes any CSV data and formats it into aligned columns using elastic tabstops. These commands are instantaneous because they run in time and memory proportional to the size of the slice (which means they will scale to arbitrarily large CSV data).