Peloton-Data-to-Google-Sheets VS PyFreeDB

Compare Peloton-Data-to-Google-Sheets vs PyFreeDB and see what are their differences.

PyFreeDB

PyFreeDB is a Python library that provides common and simple database abstractions on top of Google Sheets. (by FreeLeh)
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Peloton-Data-to-Google-Sheets PyFreeDB
3 1
11 17
- -
3.5 0.0
26 days ago over 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Peloton-Data-to-Google-Sheets

Posts with mentions or reviews of Peloton-Data-to-Google-Sheets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-04.

PyFreeDB

Posts with mentions or reviews of PyFreeDB. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Peloton-Data-to-Google-Sheets and PyFreeDB you can also consider the following projects:

peloton-to-garmin - Convert workout data from Peloton into JSON/TCX/FIT files and automatically upload to Garmin Connect

viperdb - A tiny log-structured key-value database written in pure Python.

testcontainers-python - Testcontainers is a Python library that providing a friendly API to run Docker container. It is designed to create runtime environment to use during your automatic tests.

pylotoncycle - Python Library for getting your Peloton workout data

PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.