fitly VS Numbers-Prophecy

Compare fitly vs Numbers-Prophecy and see what are their differences.

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fitly Numbers-Prophecy
3 5
178 4
- -
0.0 0.0
about 2 months ago about 2 years 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.

fitly

Posts with mentions or reviews of fitly. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-26.

Numbers-Prophecy

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

What are some alternatives?

When comparing fitly and Numbers-Prophecy you can also consider the following projects:

dash-mantine-components - Plotly Dash components based on Mantine React Components

plotly-resampler - Visualize large time series data with plotly.py

susi_server - SUSI.AI server backend - the Artificial Intelligence server for personal assistants https://susi.ai

tablespoon - 🥄✨Time-series Benchmark methods that are Simple and Probabilistic

Mi-Fit-and-Zepp-workout-exporter - A Python script which allows users to export workout data from Mi Fit and Zepp applications.

django-plotly-dash - Expose plotly dash apps as django tags

bayesian-testing - Bayesian A/B testing

dash-component-boilerplate - Get started creating your own Dash components here.

superset - Apache Superset is a Data Visualization and Data Exploration Platform

vizro - Vizro is a toolkit for creating modular data visualization applications.

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!