caRtola
tech-diff
Our great sponsors
caRtola | tech-diff | |
---|---|---|
1 | 1 | |
438 | 12 | |
- | - | |
0.0 | 6.9 | |
5 months ago | 2 months ago | |
HTML | HTML | |
MIT License | Apache License 2.0 |
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.
caRtola
tech-diff
-
Show HN: Tech Diff – Compare different technologies
https://github.com/pflooky/tech-diff
Appreciate any feedback!
What are some alternatives?
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
top-pypi-packages - A regular dump of the most-downloaded packages from PyPI
vembedr - Functions to Embed Video in HTML
awesome-streamlit - The purpose of this project is to share knowledge on how awesome Streamlit is and can be
surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny
simple-data-analysis.js - Easy-to-use and high-performance JavaScript library for data analysis. [Moved to: https://github.com/nshiab/simple-data-analysis]
datasciencecoursera - Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
awesome-python - 🐍 Hand-picked awesome Python libraries and frameworks, organised by category
FielDHub - FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
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.
sololearn - Compilation of all SoloLearn courses with their respective projects and practices and all 72 code challenges for all 7 supported languages.
data.validator - validate your data and create nice reports straight from R