sagelite

[William Stein]

Hi Sage-Devel,

For a long time, by far the biggest problem with sagemath is that you can't just easily "pip install" it into standard Python environments.   There's now sagelite which is sage, but pip-installable, and packaged in a pypi friendly way, so it's not too big, and doesn't include extra executables like Singular/Maxima/etc. -- just the core extension modules and code.  There's a few minor changes, e.g., prefer sympy over maxima for integration. 

- https://pypi.org/project/sagelite/

- https://github.com/sagemathinc/sagelite/blob/develop/SAGELITE.md

This currently supports python 3.12, 3.13 and 3.14 on x86_64 Linux.  

The sage binary wheel is about 175MB, and there's dependencies on other wheels like scipy, matplotlib, etc.  A clean install is just over 1GB unpacked, with all deps.

 

 -- William

[Tobia...@gmx.de]

Awesome to see some progress in this direction!

To clarify, with "doesn't include extra executables" you mean that the end-user has to install those manually and then you get a fully working sage?

In https://github.com/sagemath/sage/pull/41415, I was working on building wheels for the sagemath pypi package. Would be nice if you could upstream your generic changes to the wheel building infrastructure.

[Jaap Spies]

On fedora core 43 I did:
jaap@peace:~/sage$ uv venv --no-project --python 3.12 .venv
source .venv/bin/activate
uv pip install sagelite
python -c "import sage.all"
sagelite-selftest
Using CPython 3.12.13 interpreter at: /usr/bin/python3.12
Creating virtual environment at: .venv
Activate with: source .venv/bin/activate
Resolved 74 packages in 936ms
Prepared 74 packages in 49.99s
Installed 74 packages in 79ms
+ alabaster==1.0.0
+ asttokens==3.0.1
+ babel==2.18.0
+ certifi==2026.2.25
+ charset-normalizer==3.4.7
+ comm==0.2.3
+ contourpy==1.3.3
+ conway-polynomials==0.10
+ cycler==0.12.1
+ cysignals==1.12.6
+ cython==3.2.4
+ debugpy==1.8.20
+ decorator==5.2.1
+ docutils==0.22.4
+ executing==2.2.1
+ fonttools==4.62.1
+ fpylll==0.6.4
+ gmpy2==2.3.0
+ idna==3.12
+ imagesize==2.0.0
+ ipykernel==7.2.0
+ ipython==9.12.0
+ ipython-pygments-lexers==1.1.1
+ ipywidgets==8.1.8
+ jedi==0.19.2
+ jinja2==3.1.6
+ jupyter-client==8.8.0
+ jupyter-core==5.9.1
+ jupyterlab-widgets==3.0.16
+ kiwisolver==1.5.0
+ markupsafe==3.0.3
+ matplotlib==3.10.8
+ matplotlib-inline==0.2.1
+ memory-allocator==0.2.0
+ mpmath==1.3.0
+ nest-asyncio==1.6.0
+ networkx==3.6.1
+ numpy==2.4.4
+ packaging==26.1
+ parso==0.8.6
+ pexpect==4.9.0
+ pillow==12.2.0
+ pkgconfig==1.6.0
+ platformdirs==4.9.6
+ pplpy==0.9.0
+ primecountpy==0.2.1
+ prompt-toolkit==3.0.52
+ psutil==7.2.2
+ ptyprocess==0.7.0
+ pure-eval==0.2.3
+ pygments==2.20.0
+ pyparsing==3.3.2
+ python-dateutil==2.9.0.post0
+ pyzmq==27.1.0
+ requests==2.33.1
+ roman-numerals==4.1.0
+ sagelite==10.9b9.post4
+ scipy==1.17.1
+ six==1.17.0
+ snowballstemmer==3.0.1
+ sphinx==9.1.0
+ sphinxcontrib-applehelp==2.0.0
+ sphinxcontrib-devhelp==2.0.0
+ sphinxcontrib-htmlhelp==2.1.0
+ sphinxcontrib-jsmath==1.0.1
+ sphinxcontrib-qthelp==2.0.0
+ sphinxcontrib-serializinghtml==2.0.0
+ stack-data==0.6.3
+ sympy==1.14.0
+ tornado==6.5.5
+ traitlets==5.14.3
+ urllib3==2.6.3
+ wcwidth==0.6.0
+ widgetsnbextension==4.0.15
checking import sage.all ... ok
checking integer factorization ... ok (2 * 1013)
checking symbolic integration ... ok (-cos(x))
checking modular symbols ... ok ((x - 3) * (x + 2) * (x^2 - 2) * (x^3 - 4*x - 2) * (x^6 + 3*x^5 - 2*x^4 - 8*x^3 + 2*x^2 + 4*x - 1) * (x^20 - 3*x^19 - 29*x^18 + 91*x^17
+ 338*x^16 - 1130*x^15 - 2023*x^14 + 7432*x^13 + 6558*x^12 - 28021*x^11 - 10909*x^10 + 61267*x^9 + 6954*x^8 - 74752*x^7 + 1407*x^6 + 46330*x^5 - 1087*x^4 - 12558*x^3
- 942*x^2 + 960*x + 148))
checking elliptic curve rank ... ok (1)

optional runtimes:
 Singular executable: present
 Maxima library mode: not available

Looks promising,

Jaap

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[William Stein]

On Wed, Apr 22, 2026 at 12:11 AM 'Tobia...@gmx.de' via sage-devel <sage-...@googlegroups.com> wrote:

Awesome to see some progress in this direction!

To clarify, with "doesn't include extra executables" you mean that the end-user has to install those manually and then you get a fully working sage?

Yes.   They could possibly all be installed via a recommended conda package...

There are a couple of defaults in Sage, e.g., depend on maxima by default, or print a bunch of warnings about singular not being installed on startup, which are changed in sagelite. This make more things work without reliance on external programs. 

 

In https://github.com/sagemath/sage/pull/41415, I was working on building wheels for the sagemath pypi package. Would be nice if you could upstream your generic changes to the wheel building infrastructure.

I'm keeping sagelite as a separate repo https://github.com/sagemathinc/sagelite and will periodically merge in upstream sage to it.   Anybody is welcome to anything there, but I don't personally have the time or interest to upstream anything.

 -- William

 

On Wednesday, April 22, 2026 at 6:13:47 AM UTC+2 wst...@gmail.com wrote:

Hi Sage-Devel,

For a long time, by far the biggest problem with sagemath is that you can't just easily "pip install" it into standard Python environments.   There's now sagelite which is sage, but pip-installable, and packaged in a pypi friendly way, so it's not too big, and doesn't include extra executables like Singular/Maxima/etc. -- just the core extension modules and code.  There's a few minor changes, e.g., prefer sympy over maxima for integration. 

- https://pypi.org/project/sagelite/

- https://github.com/sagemathinc/sagelite/blob/develop/SAGELITE.md

This currently supports python 3.12, 3.13 and 3.14 on x86_64 Linux.  

The sage binary wheel is about 175MB, and there's dependencies on other wheels like scipy, matplotlib, etc.  A clean install is just over 1GB unpacked, with all deps.

 

 -- William

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Best Regards,
William Stein

CEO, SageMath, Inc.
https://cocalc.com

[William Stein]

Hi,

-  building these wheels, pushing them to pypi, etc. is all completely automated via github actions.   

- ARM64 (aarch64) is now supported as well, so if you're using macos you can make a docker/podman container then install sagelite using pip.

- If you 'pip install sagelite', then you can: (1) use "import sage.all" in your python environment, and also (2) just run "sage" and it uses your python environment.

 -- William