tech-diff vs data.validator

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tech-diff		data.validator
	Project
1	Mentions	2
12	Stars	147
-	Growth	0.0%
6.7	Activity	7.7
12 days ago	Latest Commit	28 days ago
HTML	Language	HTML
Apache License 2.0	License	GNU General Public License v3.0 or later

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.

tech-diff

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

Show HN: Tech Diff – Compare different technologies
1 project | news.ycombinator.com | 12 Nov 2023

https://github.com/pflooky/tech-diff
Appreciate any feedback!

data.validator

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

RStats: Data Validation with Reports
1 project | news.ycombinator.com | 15 Dec 2022
Thoughts on or experiences with validating data with data.validator or validate
1 project | /r/rstats | 29 Mar 2021

I found the data.validator and validate packages and they seem like a good paths forwards for issues like this.

What are some alternatives?

When comparing tech-diff and data.validator you can also consider the following projects:

top-pypi-packages - A regular dump of the most-downloaded packages from PyPI

lme4cens - Simple Mixed Effect Models and Censoring

awesome-streamlit - The purpose of this project is to share knowledge on how awesome Streamlit is and can be

RInno - How to install local shiny apps

simple-data-analysis.js - Easy-to-use and high-performance JavaScript library for data analysis. [Moved to: https://github.com/nshiab/simple-data-analysis]

awesome-python - 🐍 Hand-picked awesome Python libraries and frameworks, organised by category

plain-free-bootstrap-admin-template - Free Vanilla JavaScript Bootstrap 5 Admin and Dashboard Template that comes with all essential dashboard components, elements, charts, graph and application pages.

caRtola - Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil. Data cover years 2014-23.