sololearn VS awesome-streamlit

Compare sololearn vs awesome-streamlit and see what are their differences.

sololearn

Compilation of all SoloLearn courses with their respective projects and practices and all 72 code challenges for all 7 supported languages. (by HenestrosaDev)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
sololearn awesome-streamlit
1 1
27 1,968
- -
8.0 0.0
20 days ago 12 months ago
HTML HTML
MIT License Creative Commons Attribution Share Alike 4.0
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.

sololearn

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

awesome-streamlit

Posts with mentions or reviews of awesome-streamlit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-14.

What are some alternatives?

When comparing sololearn and awesome-streamlit you can also consider the following projects:

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

mercury - Convert Jupyter Notebooks to Web Apps

thisvsthat - Learn web development by comparing different technologies.

datapane - Build and share data reports in 100% Python

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.

awesome-systematic-trading - A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. [Moved to: https://github.com/paperswithbacktest/awesome-systematic-trading]