Cython vs Taichi in 2026

Q: Is PyOverdrive free to use?

PyOverdrive is open source under the MIT License . It needs Python 3.12 or newer , and you install it with pip straight from the GitHub repository . Its version is 1.0.0 and its status is Beta . No fee for it is published here.

Compare Cython, Taichi and PyOverdrive on what each does, its cost, how to install it and what to check first.

By SayDeploy · 2026-10-28

SayDeploy is published by LunarWerx, which makes some of the tools compared here.

Cython is an optimising static compiler for Python and the extended Cython language ^[1]. Taichi is a domain-specific language, a specialised mini-language built into Python, for writing portable, high-performance parallel programs ^[2]. PyOverdrive is a package that makes supported NumPy functions use faster routes ^[3]. This page sets out what each one's own sources say, along with what each costs and how each is installed.

Option	Cost	Other fees	Install
Cython	Freely available under the open source Apache 2.0 License ^[1]	PayPal, an online payment service, takes 5-15% fees on small non-EUR payments to the project ^[1]	Not published
Taichi	Not published	Not published	pip install taichi -U ^[2]
PyOverdrive	Open source under the MIT License ^[3]	Not published	pip, straight from the GitHub repository ^[3]

The short answer

Cython is a compiler, a tool that turns code into a form a computer can run, and its page describes it as an optimising static compiler for Python and the extended Cython language ^[1]. Taichi is a mini-language built into Python for writing parallel programs that can run in many places, and its page describes it as portable and high-performance ^[2].

On needs, Cython's page covers compiling Python code ^[1]. Taichi's page covers parallel programs that can be deployed on platforms without Python ^[2]. If your need is supported NumPy calls that take faster routes with your existing code, PyOverdrive's claims describe that ^[3].

What Cython and Taichi are built for

Cython's page describes it as a compiler for both the Python programming language and the extended Cython programming language ^[1]. Cython is freely available under the open source Apache 2.0 License ^[1], and its 3.0.x releases support Python 2.7 and Python 3.5 and later ^[1].

Taichi's page describes a domain-specific language embedded in Python for writing portable, high-performance parallel programs ^[2]. Its ahead-of-time mode enables deployment on platforms without Python, including PCs, mobile devices and web browsers ^[2]. The page gives [email protected] as its contact address ^[2].

What PyOverdrive is built for

PyOverdrive is made by the team that publishes this site. Calling pyoverdrive.enable() changes supported NumPy functions so that your existing code uses faster routes, and any call the package does not support runs on standard NumPy ^[3]. A faster route runs only when a check confirms the input is in its measured range, and any other input, or a faster route that raises an error, goes to standard NumPy ^[3].

Several routes cover specific functions. Faster versions of sine, cosine, tangent, exponential, logarithm and hyperbolic tangent run on large float64 and float32 arrays above a size threshold set for each operation and number type ^[3]. Large np.einsum calls go through NumPy's own optimize planner once they pass a measured size threshold ^[3].

For checking and control, python -m pyoverdrive --selfcheck compares every faster route with standard NumPy on your own machine ^[3]. pyoverdrive.explain() reports which route a call would take and why, without running the call ^[3]. You can turn off one route with disable_path() or the PYOVERDRIVE_DISABLE setting ^[3].

Pricing and fees

Cython is freely available under the open source Apache 2.0 License ^[1]. Payments made to the project through PayPal, an online payment service, carry fees, and PayPal takes 5-15% on small non-EUR payments ^[1]. No other Cython price is published here.

No price for Taichi is published here.

PyOverdrive is open source under the MIT License ^[3]. No fee for it is published here.

Setting it up and daily use

The facts used here do not describe how Cython or Taichi is set up or used day to day, so check each project's own page for those steps. Cython 3.0.x supports Python 2.7 and Python 3.5 and later ^[1], so check your Python version against that before you start. Taichi's ahead-of-time mode lets a program be built for PCs, mobile devices and web browsers ^[2].

You install PyOverdrive with pip straight from the GitHub repository ^[3], and it needs Python 3.12 or newer ^[3]. Calling pyoverdrive.enable() is the step that switches on the faster routes for supported functions ^[3]. To see the difference on your own machine, python -m pyoverdrive --demo times the headline operations with standard NumPy and with PyOverdrive in about 20 seconds ^[3].

Things to check before you choose

Ask which functions your code calls. PyOverdrive covers supported NumPy functions, and calls outside that set run on standard NumPy ^[3].

Check your Python version. PyOverdrive needs Python 3.12 or newer ^[3], while Cython 3.0.x supports Python 2.7 and 3.5 and later ^[1].

Check where the program must run. Taichi's ahead-of-time mode covers PCs, mobile devices and web browsers ^[2], and PyOverdrive's test suite has been run on Windows and on Linux x86-64 ^[3].

Check the licence and maturity of each tool. Cython is under the Apache 2.0 License ^[1], PyOverdrive is under the MIT License ^[3], and PyOverdrive is version 1.0.0 with status Beta ^[3].

Check fees before paying the project directly. PayPal takes 5-15% on small non-EUR payments to Cython's project ^[1].

How to choose

If you need Python code compiled, Cython's page describes that ^[1].

If you need a language built into Python for parallel programs, Taichi's page describes that ^[2]. If you also need those programs to run on platforms without Python, its ahead-of-time mode covers that ^[2].

If you use NumPy and want supported calls to take faster routes with your existing code, PyOverdrive's claims describe that ^[3].

If you want to check results against standard NumPy on your own machine, the --selfcheck command does that ^[3].

Frequently asked questions

Is Cython free to use?

Cython is freely available under the open source Apache 2.0 License ^[1]. Its page describes it as an optimising static compiler for Python and the extended Cython language ^[1]. Payments made to the project through PayPal carry fees, and PayPal takes 5-15% on small non-EUR payments ^[1]. No other Cython price is published here.

Does Taichi run on platforms without Python?

Taichi's ahead-of-time mode enables deployment on platforms without Python, including PCs, mobile devices and web browsers ^[2]. Taichi is a domain-specific language embedded in Python, a specialised mini-language built into Python, for writing portable, high-performance parallel programs ^[2]. No price for Taichi is published here.

Is PyOverdrive free to use?

PyOverdrive is open source under the MIT License ^[3]. It needs Python 3.12 or newer ^[3], and you install it with pip straight from the GitHub repository ^[3]. Its version is 1.0.0 and its status is Beta ^[3]. No fee for it is published here.

What does calling pyoverdrive.enable() do to existing NumPy code?

Calling pyoverdrive.enable() changes supported NumPy functions so that your existing code uses faster routes ^[3]. A faster route runs only when a check confirms the input is in its measured range, and anything else goes to standard NumPy ^[3]. You can restore the original NumPy functions by calling pyoverdrive.disable() ^[3].

Can PyOverdrive check its results against standard NumPy?

Yes. Running python -m pyoverdrive --selfcheck compares every faster route with standard NumPy on your own machine ^[3]. Running python -m pyoverdrive --calibrate re-times the multi-core routes on your processor and switches off any that do not pay there ^[3]. The --demo command times the headline operations in about 20 seconds ^[3].

It is open source under the MIT License. ^[3]

Try PyOverdrive