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.
- 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.
- 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.
- 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.
- 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.
Get the badge
A small badge for try’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
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