try VS doitlive

Compare try vs doitlive and see what are their differences.

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try doitlive
12 -
5,107 3,398
0.5% -
8.3 7.9
9 days ago 4 days ago
Shell 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.

try

Posts with mentions or reviews of try. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-06.

doitlive

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

We haven't tracked posts mentioning doitlive yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing try and doitlive you can also consider the following projects:

ai - Build AI-powered applications with React, Svelte, Vue, and Solid

cookiecutter - A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

top-cvpr-2023-papers - This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]

mycli - A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.

firejail - Linux namespaces and seccomp-bpf sandbox

try - Dead simple CLI tool to try Python packages - It's never been easier! :package:

ccat - Colorizing `cat`

bashplotlib - plotting in the terminal

pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

PathPicker - PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

caniusepython3 - Can I Use Python 3?