Skip to content

Best-of update: 2023.12.21 #16

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Dec 21, 2023
Merged

Best-of update: 2023.12.21 #16

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
124 changes: 62 additions & 62 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,12 +46,12 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K

<details><summary><b><a href="https://github.com/deepmodeling/deepmd-kit">DeePMD-kit</a></b> (🥇29 · ⭐ 1.3K) - A deep learning package for many-body potential energy representation and molecular dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 64 · 🔀 440 · 📥 30K · 📦 12 · 📋 480 - 5% open · ⏱️ 27.10.2023):
- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 64 · 🔀 440 · 📥 30K · 📦 12 · 📋 490 - 5% open · ⏱️ 27.10.2023):

```
git clone https://github.com/deepmodeling/deepmd-kit
```
- [PyPi](https://pypi.org/project/deepmd-kit) (📥 1K / month):
- [PyPi](https://pypi.org/project/deepmd-kit) (📥 980 / month):
```
pip install deepmd-kit
```
Expand All @@ -70,12 +70,12 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
</details>
<details><summary><b><a href="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇24 · ⭐ 250) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 62 · 🔀 160 · 📥 1.5K · 📦 4 · 📋 250 - 6% open · ⏱️ 02.11.2023):
- [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 62 · 🔀 160 · 📥 1.6K · 📦 4 · 📋 250 - 7% open · ⏱️ 02.11.2023):

```
git clone https://github.com/deepmodeling/dpgen
```
- [PyPi](https://pypi.org/project/dpgen) (📥 490 / month):
- [PyPi](https://pypi.org/project/dpgen) (📥 470 / month):
```
pip install dpgen
```
Expand All @@ -86,12 +86,12 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
</details>
<details><summary><b><a href="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇23 · ⭐ 160) - Manipulating multiple atomic simulation data formats, including DeePMD-kit, VASP, LAMMPS, ABACUS, etc. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 51 · 🔀 110 · 📦 110 · 📋 77 - 12% open · ⏱️ 31.10.2023):
- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 51 · 🔀 110 · 📦 110 · 📋 79 - 15% open · ⏱️ 31.10.2023):

```
git clone https://github.com/deepmodeling/dpdata
```
- [PyPi](https://pypi.org/project/dpdata) (📥 5K / month):
- [PyPi](https://pypi.org/project/dpdata) (📥 5.3K / month):
```
pip install dpdata
```
Expand All @@ -106,39 +106,39 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
</details>
<details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇22 · ⭐ 130) - An electronic structure package based on either plane wave basis or numerical atomic orbitals. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 90 · 🔀 87 · 📋 1K - 13% open · ⏱️ 14.12.2023):
- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 90 · 🔀 87 · 📋 1K - 13% open · ⏱️ 21.12.2023):

```
git clone https://github.com/deepmodeling/abacus-develop
```
- [Conda](https://anaconda.org/conda-forge/abacus) (📥 8.5K · ⏱️ 06.12.2023):
- [Conda](https://anaconda.org/conda-forge/abacus) (📥 9.5K · ⏱️ 15.12.2023):
```
conda install -c conda-forge abacus
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥇22 · ⭐ 35) - generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 42 · 🔀 46 · 📦 42 · 📋 59 - 18% open · ⏱️ 13.12.2023):
- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 42 · 🔀 46 · 📦 42 · 📋 60 - 18% open · ⏱️ 13.12.2023):

```
git clone https://github.com/deepmodeling/dpdispatcher
```
- [PyPi](https://pypi.org/project/dpdispatcher) (📥 2.1K / month):
- [PyPi](https://pypi.org/project/dpdispatcher) (📥 2.7K / month):
```
pip install dpdispatcher
```
- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 6K · ⏱️ 21.11.2023):
```
conda install -c conda-forge dpdispatcher
```
- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 83K · ⏱️ 20.11.2023):
- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 84K · ⏱️ 20.11.2023):
```
docker pull dptechnology/dpdispatcher
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/dflow">dflow</a></b> (🥈17 · ⭐ 42) - Dflow is a Python framework for constructing scientific computing workflows (e.g. concurrent learning workflows).. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 21 · 🔀 20 · 📋 34 - 38% open · ⏱️ 27.11.2023):
- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 21 · 🔀 20 · 📋 34 - 38% open · ⏱️ 21.12.2023):

```
git clone https://github.com/deepmodeling/dflow
Expand All @@ -151,7 +151,7 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
```
conda install -c conda-forge dflow
```
- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 1.8K · ⏱️ 27.11.2023):
- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 1.8K · ⏱️ 21.12.2023):
```
docker pull dptechnology/dflow
```
Expand All @@ -163,7 +163,7 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
```
git clone https://github.com/deepmodeling/dargs
```
- [PyPi](https://pypi.org/project/dargs) (📥 8.4K / month):
- [PyPi](https://pypi.org/project/dargs) (📥 8.8K / month):
```
pip install dargs
```
Expand All @@ -175,82 +175,82 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
```
git clone https://github.com/deepmodeling/dpgui
```
- [PyPi](https://pypi.org/project/dpgui) (📥 4.9K / month):
- [PyPi](https://pypi.org/project/dpgui) (📥 4.2K / month):
```
pip install dpgui
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈14 · ⭐ 92) - A deep learning empowered open-source platform for reacting flow simulations. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈14 · ⭐ 93) - A deep learning empowered open-source platform for reacting flow simulations. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/deepflame-dev) (👨‍💻 20 · 🔀 50 · 📋 35 - 22% open · ⏱️ 20.11.2023):
- [GitHub](https://github.com/deepmodeling/deepflame-dev) (👨‍💻 20 · 🔀 50 · 📋 36 - 25% open · ⏱️ 21.12.2023):

```
git clone https://github.com/deepmodeling/deepflame-dev
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/DMFF">DMFF</a></b> (🥈13 · ⭐ 120) - DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable.. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈14 · ⭐ 21 · 📈) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/DMFF) (👨‍💻 13 · 🔀 33 · 📋 21 - 33% open · ⏱️ 09.11.2023):
- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 10 · 🔀 14 · 📦 1 · 📋 21 - 38% open · ⏱️ 19.12.2023):

```
git clone https://github.com/deepmodeling/DMFF
git clone https://github.com/deepmodeling/dpgen2
```
- [PyPi](https://pypi.org/project/dpgen2) (📥 53 / month):
```
pip install dpgen2
```
- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 2.4K · ⏱️ 19.12.2023):
```
docker pull dptechnology/dpgen2
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈13 · ⭐ 20) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/DMFF">DMFF</a></b> (🥈13 · ⭐ 120) - DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable.. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 10 · 🔀 13 · 📦 1 · 📋 21 - 38% open · ⏱️ 25.10.2023):
- [GitHub](https://github.com/deepmodeling/DMFF) (👨‍💻 13 · 🔀 34 · 📋 21 - 33% open · ⏱️ 09.11.2023):

```
git clone https://github.com/deepmodeling/dpgen2
git clone https://github.com/deepmodeling/DMFF
```
- [PyPi](https://pypi.org/project/dpgen2) (📥 50 / month):
</details>
<details><summary><b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥈12 · ⭐ 40 · 📈) - Reinforced dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/rid-kit) (👨‍💻 14 · 🔀 20 · 📥 140 · ⏱️ 22.09.2023):

```
pip install dpgen2
git clone https://github.com/deepmodeling/rid-kit
```
- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 2.4K · ⏱️ 25.10.2023):
- [PyPi](https://pypi.org/project/rid-kit) (📥 120 / month):
```
docker pull dptechnology/dpgen2
pip install rid-kit
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈13 · ⭐ 11) - APEX: Alloy Properties EXplorer using simulations. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈12 · ⭐ 11 · 📉) - APEX: Alloy Properties EXplorer using simulations. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/APEX) (👨‍💻 4 · 🔀 8 · ⏱️ 17.11.2023):

```
git clone https://github.com/deepmodeling/APEX
```
- [PyPi](https://pypi.org/project/apex-flow) (📥 73 / month):
- [PyPi](https://pypi.org/project/apex-flow) (📥 67 / month):
```
pip install apex-flow
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/deepmodeling_sphinx">deepmodeling_sphinx</a></b> (🥈12 · ⭐ 2) - Sphinx extension for DeepModeling projects. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/deepmodeling_sphinx) (👨‍💻 4 · 🔀 3 · ⏱️ 31.10.2023):
- [GitHub](https://github.com/deepmodeling/deepmodeling_sphinx) (👨‍💻 5 · 🔀 4 · ⏱️ 17.12.2023):

```
git clone https://github.com/deepmodeling/deepmodeling_sphinx
```
- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 1.4K / month):
- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 1.5K / month):
```
pip install deepmodeling_sphinx
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥉11 · ⭐ 39) - Reinforced dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/rid-kit) (👨‍💻 14 · 🔀 20 · 📥 140 · ⏱️ 22.09.2023):

```
git clone https://github.com/deepmodeling/rid-kit
```
- [PyPi](https://pypi.org/project/rid-kit) (📥 100 / month):
```
pip install rid-kit
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥉11 · ⭐ 21 · 🐣) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥉11 · ⭐ 23 · 🐣) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 5 · 🔀 9 · 📋 16 - 37% open · ⏱️ 11.12.2023):
- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 5 · 🔀 9 · 📋 17 - 41% open · ⏱️ 11.12.2023):

```
git clone https://github.com/deepmodeling/DeePTB
Expand All @@ -263,14 +263,14 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
```
git clone https://github.com/deepmodeling/args
```
- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 170 / month):
- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 160 / month):
```
npm install @deepmodeling/args
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/deepks-kit">DeePKS-kit</a></b> (🥉10 · ⭐ 95 · 💤) - a package for developing machine learning-based chemically accurate energy and density functional models. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/deepks-kit) (👨‍💻 6 · 🔀 31 · 📋 11 - 18% open · ⏱️ 01.04.2023):
- [GitHub](https://github.com/deepmodeling/deepks-kit) (👨‍💻 6 · 🔀 31 · 📋 12 - 8% open · ⏱️ 01.04.2023):

```
git clone https://github.com/deepmodeling/deepks-kit
Expand All @@ -283,33 +283,33 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
```
git clone https://github.com/deepmodeling/fealpy
```
- [PyPi](https://pypi.org/project/fealpy) (📥 63 / month):
- [PyPi](https://pypi.org/project/fealpy) (📥 54 / month):
```
pip install fealpy
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/Uni-Fold">Uni-Fold</a></b> (🥉8 · ⭐ 89 · 💤) - <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉9 · ⭐ 14 · 📈) - A Python Package to Automate Thermodynamic Integration Calculations for Free Energy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/Uni-Fold) (👨‍💻 3 · 🔀 18 · ⏱️ 18.08.2022):
- [GitHub](https://github.com/deepmodeling/dpti) (👨‍💻 13 · 🔀 15 · ⏱️ 05.07.2023):

```
git clone https://github.com/deepmodeling/Uni-Fold
git clone https://github.com/deepmodeling/dpti
```
- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 550 · ⏱️ 30.11.2023):
- [PyPi](https://pypi.org/project/dpti) (📥 31 / month):
```
docker pull dptechnology/unifold
pip install dpti
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉8 · ⭐ 13) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/Uni-Fold">Uni-Fold</a></b> (🥉8 · ⭐ 90 · 💤) - <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/deepmodeling/dpti) (👨‍💻 13 · 🔀 15 · ⏱️ 05.07.2023):
- [GitHub](https://github.com/deepmodeling/Uni-Fold) (👨‍💻 3 · 🔀 18 · ⏱️ 18.08.2022):

```
git clone https://github.com/deepmodeling/dpti
git clone https://github.com/deepmodeling/Uni-Fold
```
- [PyPi](https://pypi.org/project/dpti) (📥 31 / month):
- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 550 · ⏱️ 30.11.2023):
```
pip install dpti
docker pull dptechnology/unifold
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/AIS-Square">AIS-Square</a></b> (🥉8 · ⭐ 6) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
Expand All @@ -336,9 +336,9 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
git clone https://github.com/deepmodeling/community
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/docs">docs</a></b> (🥉6 · ⭐ 3) - The home page of DeepModeling documentation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/docs">docs</a></b> (🥉7 · ⭐ 3 · 📈) - The home page of DeepModeling documentation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>

- [GitHub](https://github.com/deepmodeling/docs) (👨‍💻 6 · 🔀 5 · ⏱️ 08.11.2023):
- [GitHub](https://github.com/deepmodeling/docs) (👨‍💻 7 · 🔀 6 · ⏱️ 17.12.2023):

```
git clone https://github.com/deepmodeling/docs
Expand All @@ -351,12 +351,12 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
```
git clone https://github.com/deepmodeling/fpop
```
- [PyPi](https://pypi.org/project/fpop) (📥 170 / month):
- [PyPi](https://pypi.org/project/fpop) (📥 160 / month):
```
pip install fpop
```
</details>
<details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉5 · ⭐ 72 · 💤) - AI for Science. <code>Unlicensed</code></summary>
<details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉5 · ⭐ 74 · 💤) - AI for Science. <code>Unlicensed</code></summary>

- [GitHub](https://github.com/deepmodeling/AI4Science101) (👨‍💻 5 · 🔀 12 · ⏱️ 04.09.2022):

Expand Down
15 changes: 15 additions & 0 deletions history/2023-12-21_changes.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,15 @@
## 📈 Trending Up

_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._

- <b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈14 · ⭐ 21 · 📈) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
- <b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥈12 · ⭐ 40 · 📈) - Reinforced dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
- <b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉9 · ⭐ 14 · 📈) - A Python Package to Automate Thermodynamic Integration Calculations for Free Energy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
- <b><a href="https://github.com/deepmodeling/docs">docs</a></b> (🥉7 · ⭐ 3 · 📈) - The home page of DeepModeling documentation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>

## 📉 Trending Down

_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._

- <b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈12 · ⭐ 11 · 📉) - APEX: Alloy Properties EXplorer using simulations. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>

Loading