CCDS vs Hydra
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A standard folder layout and setup tool for data science projects, generated with one command.
Open source · MIT
Open-source desktop app for managing your game library, friends, and achievements in one place.
The short answer
Choose CCDS if you need…
- Data scientists starting a new analysis or modeling project who want a consistent layout
- Teams that want shared conventions for where data, notebooks and models live
- Students learning how to organize a data science project
- Anyone who already uses cookiecutter templates and wants a data-science-specific one
Choose Hydra if you need…
- Gamers who want one launcher for their game library
- People who want a profile that shows friends what they are playing
- Users who want cloud save sync through Hydra Cloud
- Developers interested in contributing to an Electron and Rust desktop app
Side-by-side
| CCDS | Hydra | |
|---|---|---|
| Type | Dev tool | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 10.1k | 17.6k |
| Setup difficulty | Beginner | Intermediate |
| How you get it | Install with a package manager | Download the app |
| Main language | Python | TypeScript |
| Last code update | 34 days ago | 5 days ago |
What each one is
CCDS
Cookiecutter Data Science (CCDS) is a command-line tool that creates a starter folder structure for a data science project. The layout separates raw and processed data, notebooks, models, reports and source code into predictable places. People use it so that projects are easier to organize, share and hand off to others.
Hydra
Hydra Launcher is a free, open-source desktop program that aims to be one place to manage your games. According to its README, it covers adding owned games to a library, showing friends what you are playing, cloud saves through Hydra Cloud, achievements, and browsing and discovering new games. It is built with Electron, React, TypeScript, and Rust.
Best for
CCDS
- Data scientists starting a new analysis or modeling project who want a consistent layout
- Teams that want shared conventions for where data, notebooks and models live
- Students learning how to organize a data science project
- Anyone who already uses cookiecutter templates and wants a data-science-specific one
Hydra
- Gamers who want one launcher for their game library
- People who want a profile that shows friends what they are playing
- Users who want cloud save sync through Hydra Cloud
- Developers interested in contributing to an Electron and Rust desktop app
Strengths
CCDS
- Simple, one-command setup with a clearly documented directory layout
- Install options are clear and it is published on PyPI
- MIT license and an active test suite noted in the README
Hydra
- Open source under the MIT License
- Listed features cover library, social profile, cloud saves, and achievements in one app
- Ships installers for several platforms, including Windows, Linux, and packages like AppImage and Snap
Not ideal for
CCDS
- People who need a web application or production service scaffold, since the README describes a data science project structure only
- Users who want the old v1 template by default, because v2 changed the tool and requires the new ccds command; v1 is still available with a flag
- Anyone who prefers no standard structure, since the template is opinionated about folder names
Hydra
- People who only want a simple game store without library management, since the README describes a broader platform
- Users who need a fully offline setup, because cloud save and profile features depend on Hydra Cloud
- Non-developers looking for a quick one-click tool, since source builds require a toolchain
Trade-offs
CCDS
- The README describes v2 as a breaking change from v1, so older guides may not match the current tool
- The template is opinionated about folder names and file layout, which some teams may need to adapt
- The README is truncated here, so detail on every generated file and setting is unclear
Hydra
- The README does not explain how the discovery or suggestion features work in detail
- Source builds need Node.js, Yarn, a Rust toolchain, and a C++ toolchain, which is a heavy setup
- The README is truncated and does not give full details on legal use or supported game sources, so check the project docs before relying on it
Getting started
CCDS
Install with pipx (recommended)
pipx install cookiecutter-data-scienceInstall with pip
pip install cookiecutter-data-scienceHydra
Clone the repository
git clone https://github.com/hydralauncher/hydraFrequently asked questions
What is the difference between CCDS and Hydra?
CCDS: A standard folder layout and setup tool for data science projects, generated with one command. Hydra: Open-source desktop app for managing your game library, friends, and achievements in one place. CCDS suits data scientists starting a new analysis or modeling project who want a consistent layout, while Hydra suits gamers who want one launcher for their game library.
Are CCDS and Hydra free?
CCDS: Free and open source. Hydra: Free and open source.
Which is easier to set up, CCDS or Hydra?
CCDS is easier to get started with (rated beginner); Hydra is rated intermediate and usually needs more setup.
Is CCDS or Hydra more popular?
Hydra has more GitHub stars (17.6k) than CCDS (10.1k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to CCDS and Hydra?
Other options people compare them with include RocketRide, Playnite.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.