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Meerschaum is a platform for quickly creating and managing time-series data streams called pipes. With Meerschaum, you can have a data visualization stack running in minutes.
The power of the Meerschaum system comes from projects like pandas, sqlalchemy, fastapi, and more.
If you've worked with time-series data, you know the headaches that come with ETL. Meerschaum is a system that makes consolidating and syncing data easy.
Anytime you need to move time-series data from somewhere like a database, API, MQTT topic, or even CSV files (we've all done it at some point), you usually end up writing some scripts that silently break in a year. Meerschaum instead gives you better tools to define and sync your data streams. And don't worry โ you can always incorporate Meerschaum into your existing scripts.
For a more thorough setup guide, visit the Getting Started page at meerschaum.io.
pip install -U --user meerschaum
mrsm stack up -d
mrsm bootstrap pipes
Please visit meerschaum.io for setup, usage, and troubleshooting information. You can find technical documentation at docs.meerschaum.io.
Meerschaum has a straightforward plugin system. For details on installing, using, and writing plugins, check out the plugins documentation at meerschaum.io.
I'm a full-time graduate student, and I work on Meerschaum in my free time. If you enjoy Meerschaum and want to support its development, you can buy me a beer (or coffee).