Numbers-Prophecy VS fitly

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

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

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.

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.

What are some alternatives?

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

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

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

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

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

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

bayesian-testing - Bayesian A/B testing

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

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!

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