Top AI Repos — open-source AI, indexed and scored

Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.

tum-pbs/PhiFlow

A differentiable PDE solving framework for machine learning

69MITPython

View on GitHub

Stars: 1,920
Forks: 233
Watchers: 1,920
Open issues: 30
Contributors: 18

Star history, last 90 days+4 over 3 snapshots

2026-07-31 · 1,9162026-08-06 · 1,920

Star history, last 90 days
Date	Stars
2026-07-31	1916
2026-08-04	1920
2026-08-06	1920

Today

— stars today

This week

— stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.00%/day

From the README

# ![PhiFlow](docs/figures/Logo_DallE2_3_layout.png)

![Build Status](https://github.com/tum-pbs/PhiFlow/actions/workflows/unit-tests.yml/badge.svg)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/phiflow.svg)](https://pypi.org/project/phiflow/)
[![PyPI license](https://img.shields.io/pypi/l/phiflow.svg)](https://pypi.org/project/phiflow/)
[![Code Coverage](https://codecov.io/gh/tum-pbs/PhiFlow/branch/develop/graph/badge.svg)](https://codecov.io/gh/tum-pbs/PhiFlow/branch/develop/)
[![Google Collab Book](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tum-pbs/PhiFlow/blob/develop/docs/Fluids_Tutorial.ipynb)


Φ<sub>Flow</sub> is an open-source simulation toolkit built for optimization and machine learning applications.
It is written mostly in Python and can be used with
[NumPy](https://numpy.org/),
[PyTorch](https://pytorch.org/),
[Jax](https://github.com/google/jax)
or [TensorFlow](https://www.tensorflow.org/).
The close integration with these machine learning frameworks allows it to leverage their automatic differentiation functionality,
making it easy to build end-to-end differentiable functions involving both learning models and physics simulations.


## Examples

### Grids

<table>
    <tbody>
        <tr>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Fluid_Logo.html"><img src="docs/figures/examples/grids/Fluid_Logo.gif"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Wake_Flow.html"><img src="docs/figures/examples/grids/Wake_Flow.png"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Lid_Driven_Cavity.html"><img src="docs/figures/examples/grids/Lid_Driven_Cavity.png"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Taylor_Green.html"><img src="docs/figures/examples/grids/Taylor_Green.jpg"></a></td>
        </tr>
        <tr>
            <td align="center">Fluid logo</td>
            <td align="center">Wake flow</td>
            <td align="center">Lid-driven cavity</td>
            <td align="center">Taylor-Green</td>
        </tr>
        <tr>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Smoke_Plume.html"><img src="docs/figures/examples/grids/Smoke_Plume.png"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Variable_Boundaries.html"><img src="docs/figures/examples/grids/Variable_Boundaries.jpg"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Batched_Smoke.html"><img src="docs/figures/examples/grids/Batched_Smoke.png"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Moving_Obstacles.html"><img src="docs/figures/examples/grids/Moving_Obstacles.png"></a></td>
        </tr>
        <tr>
            <td align="center">Smoke plume</td>
            <td align="center">Variable boundaries</td>
            <td align="center">Parallel simulations</td>
            <td align="center">Moving obstacles</td>
        </tr>
        <tr>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Rotating_Bar.html"><img src="docs/figures/examples/grids/Rotating_Bar.jpg"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Multi_Grid_Fluid.html"><img src="docs/figures/examples/grids/Multi_Grid_Fluid.jpg"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Higher_order_Kolmogorov.html"><img src="docs/figures/examples/grids/Higher_Order_Kolmogorov.jpg"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Heat_Flow.html"><img src="docs/figures/examples/grids/Heat_Flow.png"></a></

Excerpt of 16,957 characters

Read on GitHub

Top contributors18 shown

p-holl
3.2k
thunil
Nils Thuerey · TUM
64
kbali1297
45
eliasdjo
12
PhylomatX
11
the-rccg
7
crackalamoo
4
tinkei
2
gemmaellen
2
brenerrr
1
mmichelis
1
stel227
1
alanZee
1
bobarna
1
marcelroed
Marcel Rød · Stanford · United States
1
gpartin
1
DanielZie
1
gaoflow
Vincent Gao · France
1

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

69/10069

Maintenance: 90%; How recently the default branch was pushed to
Releases: 10%; Recency and cadence of tagged releases
Community: 36%; Contributor breadth and bus factor
Issue backlog: 85%; Open issues measured against the size of the audience
Documentation: 95%; README depth, plus a homepage and topics
Licensing: 100%; How freely the code can be adopted

What to know before adopting

No release in over a year
Bus factor of 1 — one contributor dominates
Usable in commercial products with attribution.

Details

Created: 7 years ago
Last push: 21 days ago
Last release: last year
Release tag: 3.4.0
Releases in the last year: 0
Default branch: master
Size: 1.0M KB
Owner type: Organization
Owner location: Munich!
Discovered via: phrase:machine learning
First indexed: 7 days ago
Last synced: 2 days ago

tum-pbs/PhiFlow

A differentiable PDE solving framework for machine learning

69MITPython

View on GitHub

Stars: 1,920
Forks: 233
Watchers: 1,920
Open issues: 30
Contributors: 18

Star history, last 90 days+4 over 3 snapshots

2026-07-31 · 1,9162026-08-06 · 1,920

Star history, last 90 days
Date	Stars
2026-07-31	1916
2026-08-04	1920
2026-08-06	1920

Today

— stars today

This week

— stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.00%/day

From the README

# ![PhiFlow](docs/figures/Logo_DallE2_3_layout.png)

![Build Status](https://github.com/tum-pbs/PhiFlow/actions/workflows/unit-tests.yml/badge.svg)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/phiflow.svg)](https://pypi.org/project/phiflow/)
[![PyPI license](https://img.shields.io/pypi/l/phiflow.svg)](https://pypi.org/project/phiflow/)
[![Code Coverage](https://codecov.io/gh/tum-pbs/PhiFlow/branch/develop/graph/badge.svg)](https://codecov.io/gh/tum-pbs/PhiFlow/branch/develop/)
[![Google Collab Book](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tum-pbs/PhiFlow/blob/develop/docs/Fluids_Tutorial.ipynb)


Φ<sub>Flow</sub> is an open-source simulation toolkit built for optimization and machine learning applications.
It is written mostly in Python and can be used with
[NumPy](https://numpy.org/),
[PyTorch](https://pytorch.org/),
[Jax](https://github.com/google/jax)
or [TensorFlow](https://www.tensorflow.org/).
The close integration with these machine learning frameworks allows it to leverage their automatic differentiation functionality,
making it easy to build end-to-end differentiable functions involving both learning models and physics simulations.


## Examples

### Grids

<table>
    <tbody>
        <tr>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Fluid_Logo.html"><img src="docs/figures/examples/grids/Fluid_Logo.gif"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Wake_Flow.html"><img src="docs/figures/examples/grids/Wake_Flow.png"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Lid_Driven_Cavity.html"><img src="docs/figures/examples/grids/Lid_Driven_Cavity.png"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Taylor_Green.html"><img src="docs/figures/examples/grids/Taylor_Green.jpg"></a></td>
        </tr>
        <tr>
            <td align="center">Fluid logo</td>
            <td align="center">Wake flow</td>
            <td align="center">Lid-driven cavity</td>
            <td align="center">Taylor-Green</td>
        </tr>
        <tr>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Smoke_Plume.html"><img src="docs/figures/examples/grids/Smoke_Plume.png"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Variable_Boundaries.html"><img src="docs/figures/examples/grids/Variable_Boundaries.jpg"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Batched_Smoke.html"><img src="docs/figures/examples/grids/Batched_Smoke.png"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Moving_Obstacles.html"><img src="docs/figures/examples/grids/Moving_Obstacles.png"></a></td>
        </tr>
        <tr>
            <td align="center">Smoke plume</td>
            <td align="center">Variable boundaries</td>
            <td align="center">Parallel simulations</td>
            <td align="center">Moving obstacles</td>
        </tr>
        <tr>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Rotating_Bar.html"><img src="docs/figures/examples/grids/Rotating_Bar.jpg"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Multi_Grid_Fluid.html"><img src="docs/figures/examples/grids/Multi_Grid_Fluid.jpg"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Higher_order_Kolmogorov.html"><img src="docs/figures/examples/grids/Higher_Order_Kolmogorov.jpg"></a></td>
            <td style="width: 25%;"><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Heat_Flow.html"><img src="docs/figures/examples/grids/Heat_Flow.png"></a></

Excerpt of 16,957 characters

Read on GitHub

Top contributors18 shown

p-holl
3.2k
thunil
Nils Thuerey · TUM
64
kbali1297
45
eliasdjo
12
PhylomatX
11
the-rccg
7
crackalamoo
4
tinkei
2
gemmaellen
2
brenerrr
1
mmichelis
1
stel227
1
alanZee
1
bobarna
1
marcelroed
Marcel Rød · Stanford · United States
1
gpartin
1
DanielZie
1
gaoflow
Vincent Gao · France
1

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

69/10069

Maintenance: 90%; How recently the default branch was pushed to
Releases: 10%; Recency and cadence of tagged releases
Community: 36%; Contributor breadth and bus factor
Issue backlog: 85%; Open issues measured against the size of the audience
Documentation: 95%; README depth, plus a homepage and topics
Licensing: 100%; How freely the code can be adopted

What to know before adopting

No release in over a year
Bus factor of 1 — one contributor dominates
Usable in commercial products with attribution.

Details

Created: 7 years ago
Last push: 21 days ago
Last release: last year
Release tag: 3.4.0
Releases in the last year: 0
Default branch: master
Size: 1.0M KB
Owner type: Organization
Owner location: Munich!
Discovered via: phrase:machine learning
First indexed: 7 days ago
Last synced: 2 days ago

Top AI Repos — open-source AI, indexed and scored

tum-pbs/PhiFlow

From the README

Top contributors18 shown

Quality score

What to know before adopting

Categories

Details

tum-pbs/PhiFlow

From the README

Top contributors18 shown

Quality score

What to know before adopting

Categories

Details

Top AI Repos — open-source AI, indexed and scored

Trend

From the README

Top contributors18 shown

Quality score

What to know before adopting

Categories

Details

Trend

From the README

Top contributors18 shown

Quality score

What to know before adopting

Categories

Details