Evaluation & Testing

try

A CLI to easily try out Python packages.

Status
UnmaintainedNo commits in 1563 days.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Try is a simple command-line interface that allows developers to quickly test and experiment with various Python packages without the need for manual installation or setup. It simplifies the process of evaluating new libraries, making it easier to integrate them into projects.

Try offers an unparalleled ease of use in experimenting with Python packages, making it a go-to tool for developers looking to quickly assess and integrate new libraries into their projects.

When it fits — and when it doesn’t

A good fit for

  • Developers looking to quickly test the functionality of various Python packages without manual setup.

  • Teams that need a streamlined process for evaluating new libraries before integrating them into projects.

Look elsewhere if

  • Projects requiring real-time package updates or continuous integration testing

  • Users who prefer graphical user interfaces over command-line tools

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited to Python only, no support for other languages

    Try is specifically designed for Python packages and does not offer similar functionality for other programming languages.

  2. 02

    Potential security risks when testing unknown packages

    Using Try to test unfamiliar or untrusted Python packages can expose the development environment to potential security vulnerabilities without proper sandboxing.

  3. 03

    Documentation is sparse and lacks comprehensive examples

    The official documentation does not provide detailed usage scenarios, troubleshooting guides, or advanced configuration options, which can hinder new users.

  4. 04

    Performance overhead when testing large packages

    Testing larger Python packages with Try may introduce noticeable performance delays due to the overhead of dynamic environment setup and teardown processes.

What it does well

  • Quickly test Python packages without installation

  • Simplified experimentation with new libraries

  • Easy to integrate into development workflows

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up try

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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