Update best-of list for version 2024.05.02

Author: njzjz

README.md

@@ -46,20 +46,20 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 
 <details><summary><b><a href="https://github.com/deepmodeling/deepmd-kit">DeePMD-kit</a></b> (🥇29 ·  ⭐ 1.4K) - 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) (👨‍💻 68 · 🔀 460 · 📥 35K · 📦 13 · 📋 650 - 15% open · ⏱️ 06.04.2024):
+- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 68 · 🔀 460 · 📥 35K · 📦 13 · 📋 660 - 14% open · ⏱️ 06.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/deepmd-kit
 	```
-- [PyPi](https://pypi.org/project/deepmd-kit) (📥 1.8K / month):
+- [PyPi](https://pypi.org/project/deepmd-kit) (📥 2K / month):
 	```
 	pip install deepmd-kit
 	```
-- [Conda](https://anaconda.org/conda-forge/deepmd-kit) (📥 510K · ⏱️ 07.04.2024):
+- [Conda](https://anaconda.org/conda-forge/deepmd-kit) (📥 530K · ⏱️ 07.04.2024):
 	```
 	conda install -c conda-forge deepmd-kit
 	```
-- [npm](https://www.npmjs.com/package/deepmd-kit) (📥 6 / month):
+- [npm](https://www.npmjs.com/package/deepmd-kit) (📥 3 / month):
 	```
 	npm install deepmd-kit
 	```
@@ -70,23 +70,23 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇24 ·  ⭐ 280) - 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) (👨‍💻 64 · 🔀 170 · 📥 1.7K · 📦 5 · 📋 270 - 9% open · ⏱️ 10.04.2024):
+- [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 64 · 🔀 170 · 📥 1.7K · 📦 5 · 📋 280 - 9% open · ⏱️ 10.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dpgen
 	```
-- [PyPi](https://pypi.org/project/dpgen) (📥 760 / month):
+- [PyPi](https://pypi.org/project/dpgen) (📥 730 / month):
 	```
 	pip install dpgen
 	```
-- [Conda](https://anaconda.org/conda-forge/dpgen) (📥 27K · ⏱️ 10.04.2024):
+- [Conda](https://anaconda.org/conda-forge/dpgen) (📥 28K · ⏱️ 10.04.2024):
 	```
 	conda install -c conda-forge dpgen
 	```
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇24 ·  ⭐ 180) - 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) (👨‍💻 57 · 🔀 120 · 📦 120 · 📋 88 - 14% open · ⏱️ 03.04.2024):
+- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 57 · 🔀 120 · 📦 120 · 📋 88 - 15% open · ⏱️ 03.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dpdata
@@ -106,19 +106,19 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇23 ·  ⭐ 140) - 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) (👨‍💻 110 · 🔀 110 · 📋 1.4K - 14% open · ⏱️ 24.04.2024):
+- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 110 · 🔀 110 · 📋 1.4K - 14% open · ⏱️ 30.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/abacus-develop
 	```
-- [Conda](https://anaconda.org/conda-forge/abacus) (📥 28K · ⏱️ 13.04.2024):
+- [Conda](https://anaconda.org/conda-forge/abacus) (📥 31K · ⏱️ 28.04.2024):
 	```
 	conda install -c conda-forge abacus
 	```
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥈22 ·  ⭐ 38) - 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) (👨‍💻 44 · 🔀 50 · 📦 47 · 📋 69 - 23% open · ⏱️ 22.04.2024):
+- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 44 · 🔀 50 · 📦 47 · 📋 69 - 23% open · ⏱️ 01.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dpdispatcher
@@ -127,7 +127,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	pip install dpdispatcher
 	```
-- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 7.4K · ⏱️ 21.01.2024):
+- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 7.6K · ⏱️ 21.01.2024):
 	```
 	conda install -c conda-forge dpdispatcher
 	```
@@ -138,23 +138,23 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/reacnetgenerator">reacnetgenerator</a></b> (🥈20 ·  ⭐ 58) - an automatic reaction network generator for reactive molecular dynamics simulation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/reacnetgenerator) (👨‍💻 18 · 🔀 33 · 📋 120 - 4% open · ⏱️ 25.04.2024):
+- [GitHub](https://github.com/deepmodeling/reacnetgenerator) (👨‍💻 18 · 🔀 33 · 📋 120 - 4% open · ⏱️ 02.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/reacnetgenerator
 	```
-- [PyPi](https://pypi.org/project/reacnetgenerator) (📥 1.9K / month):
+- [PyPi](https://pypi.org/project/reacnetgenerator) (📥 2K / month):
 	```
 	pip install reacnetgenerator
 	```
-- [Conda](https://anaconda.org/conda-forge/reacnetgenerator) (📥 280K · ⏱️ 06.01.2024):
+- [Conda](https://anaconda.org/conda-forge/reacnetgenerator) (📥 290K · ⏱️ 06.01.2024):
 	```
 	conda install -c conda-forge reacnetgenerator
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/dflow">dflow</a></b> (🥈18 ·  ⭐ 50) - 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>
+<details><summary><b><a href="https://github.com/deepmodeling/dflow">dflow</a></b> (🥈18 ·  ⭐ 53) - 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) (👨‍💻 22 · 🔀 23 · 📋 34 - 38% open · ⏱️ 12.04.2024):
+- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 22 · 🔀 23 · 📋 34 - 38% open · ⏱️ 30.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dflow
@@ -167,42 +167,42 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	conda install -c conda-forge dflow
 	```
-- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 3.3K · ⏱️ 12.04.2024):
+- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 3.3K · ⏱️ 30.04.2024):
 	```
 	docker pull dptechnology/dflow
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈17 ·  ⭐ 32 · 📈) - 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> (🥈17 ·  ⭐ 32) - 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) (👨‍💻 9 · 🔀 12 · 📋 22 - 4% open · ⏱️ 24.04.2024):
+- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 9 · 🔀 12 · 📋 30 - 30% open · ⏱️ 01.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/DeePTB
 	```
-- [PyPi](https://pypi.org/project/dptb) (📥 390 / month):
+- [PyPi](https://pypi.org/project/dptb) (📥 400 / month):
 	```
 	pip install dptb
 	```
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/dargs">dargs</a></b> (🥈17 ·  ⭐ 5) - Argument processing for the deep modeling project. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/dargs) (👨‍💻 7 · 🔀 2 · 📦 110 · 📋 7 - 14% open · ⏱️ 18.04.2024):
+- [GitHub](https://github.com/deepmodeling/dargs) (👨‍💻 7 · 🔀 2 · 📦 110 · 📋 7 - 14% open · ⏱️ 27.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dargs
 	```
-- [PyPi](https://pypi.org/project/dargs) (📥 21K / month):
+- [PyPi](https://pypi.org/project/dargs) (📥 23K / month):
 	```
 	pip install dargs
 	```
-- [Conda](https://anaconda.org/conda-forge/dargs) (📥 22K · ⏱️ 06.04.2024):
+- [Conda](https://anaconda.org/conda-forge/dargs) (📥 23K · ⏱️ 06.04.2024):
 	```
 	conda install -c conda-forge dargs
 	```
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈16 ·  ⭐ 120) - 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) (👨‍💻 23 · 🔀 55 · 📋 43 - 34% open · ⏱️ 21.04.2024):
+- [GitHub](https://github.com/deepmodeling/deepflame-dev) (👨‍💻 23 · 🔀 56 · 📋 43 - 34% open · ⏱️ 21.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/deepflame-dev
@@ -220,54 +220,54 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	pip install dpgui
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/DMFF">DMFF</a></b> (🥈14 ·  ⭐ 140) - 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/DMFF) (👨‍💻 14 · 🔀 40 · 📋 25 - 36% open · ⏱️ 12.01.2024):
-
-	```
-	git clone https://github.com/deepmodeling/DMFF
-	```
-- [Conda](https://anaconda.org/conda-forge/dmff) (📥 230 · ⏱️ 06.01.2024):
-	```
-	conda install -c conda-forge dmff
-	```
-</details>
 <details><summary><b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈14 ·  ⭐ 28) - 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/dpgen2) (👨‍💻 13 · 🔀 19 · 📦 2 · 📋 27 - 37% open · ⏱️ 19.04.2024):
+- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 13 · 🔀 19 · 📦 2 · 📋 28 - 39% open · ⏱️ 30.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dpgen2
 	```
-- [PyPi](https://pypi.org/project/dpgen2) (📥 120 / month):
+- [PyPi](https://pypi.org/project/dpgen2) (📥 130 / month):
 	```
 	pip install dpgen2
 	```
-- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 2.4K · ⏱️ 19.04.2024):
+- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 2.4K · ⏱️ 30.04.2024):
 	```
 	docker pull dptechnology/dpgen2
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/jax-fem">JAX-FEM</a></b> (🥈13 ·  ⭐ 140 · 🐣) - Differentiable Finite Element Method with JAX. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/jax-fem">JAX-FEM</a></b> (🥈13 ·  ⭐ 150) - Differentiable Finite Element Method with JAX. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 7 · 🔀 28 · 📋 22 - 77% open · ⏱️ 25.04.2024):
+- [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 7 · 🔀 28 · 📋 22 - 77% open · ⏱️ 01.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/jax-fem
 	```
-- [PyPi](https://pypi.org/project/jax-fem) (📥 170 / month):
+- [PyPi](https://pypi.org/project/jax-fem) (📥 190 / month):
 	```
 	pip install jax-fem
 	```
 </details>
+<details><summary><b><a href="https://github.com/deepmodeling/DMFF">DMFF</a></b> (🥈13 ·  ⭐ 140 · 📉) - 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/DMFF) (👨‍💻 14 · 🔀 40 · 📋 25 - 36% open · ⏱️ 12.01.2024):
+
+	```
+	git clone https://github.com/deepmodeling/DMFF
+	```
+- [Conda](https://anaconda.org/conda-forge/dmff) (📥 250 · ⏱️ 06.01.2024):
+	```
+	conda install -c conda-forge dmff
+	```
+</details>
 <details><summary><b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥈13 ·  ⭐ 42 · 💤) - Reinforced dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
 - [GitHub](https://github.com/deepmodeling/rid-kit) (👨‍💻 14 · 🔀 21 · 📥 140 · ⏱️ 22.09.2023):
 
 	```
 	git clone https://github.com/deepmodeling/rid-kit
 	```
-- [PyPi](https://pypi.org/project/rid-kit) (📥 85 / month):
+- [PyPi](https://pypi.org/project/rid-kit) (📥 97 / month):
 	```
 	pip install rid-kit
 	```
@@ -279,7 +279,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/args
 	```
-- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 320 / month):
+- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 310 / month):
 	```
 	npm install @deepmodeling/args
 	```
@@ -291,31 +291,31 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/deepmodeling_sphinx
 	```
-- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 2.5K / month):
+- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 2.3K / month):
 	```
 	pip install deepmodeling_sphinx
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥉11 ·  ⭐ 13 · 📉) - 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> (🥉11 ·  ⭐ 13) - 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) (👨‍💻 6 · 🔀 14 · ⏱️ 07.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/APEX
 	```
-- [PyPi](https://pypi.org/project/apex-flow) (📥 69 / month):
+- [PyPi](https://pypi.org/project/apex-flow) (📥 90 / month):
 	```
 	pip install apex-flow
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉11 ·  ⭐ 2 · 📈) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉11 ·  ⭐ 2) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
 
 - [GitHub](https://github.com/deepmodeling/fealpy) (👨‍💻 57 · 🔀 2 · ⏱️ 24.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/fealpy
 	```
-- [PyPi](https://pypi.org/project/fealpy) (📥 160 / month):
+- [PyPi](https://pypi.org/project/fealpy) (📥 170 / month):
 	```
 	pip install fealpy
 	```
@@ -335,7 +335,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/dpti
 	```
-- [PyPi](https://pypi.org/project/dpti) (📥 22 / month):
+- [PyPi](https://pypi.org/project/dpti) (📥 25 / month):
 	```
 	pip install dpti
 	```
@@ -359,7 +359,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/fpop
 	```
-- [PyPi](https://pypi.org/project/fpop) (📥 2.2K / month):
+- [PyPi](https://pypi.org/project/fpop) (📥 1.4K / month):
 	```
 	pip install fpop
 	```
@@ -372,7 +372,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	git clone https://github.com/deepmodeling/community
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/tbplas">tbplas</a></b> (🥉7 ·  ⭐ 4 · 🐣) - Repository of TBPLaS (tight-binding package for large-scale simulation). <code>Unlicensed</code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/tbplas">tbplas</a></b> (🥉7 ·  ⭐ 5 · 🐣) - Repository of TBPLaS (tight-binding package for large-scale simulation). <code>Unlicensed</code></summary>
 
 - [GitHub](https://github.com/deepmodeling/tbplas) (👨‍💻 10 · 🔀 3 · ⏱️ 17.01.2024):
 
@@ -388,7 +388,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	git clone https://github.com/deepmodeling/docs
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/blog">Blog</a></b> (🥉7 ·  ⭐ 1 · 📈) - DeepModeling Blog. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/blog">Blog</a></b> (🥉7 ·  ⭐ 1) - DeepModeling Blog. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
 - [GitHub](https://github.com/deepmodeling/blog) (👨‍💻 7 · 🔀 7 · ⏱️ 18.04.2024):
 

history/2024-05-02_changes.md

@@ -0,0 +1,6 @@
+## 📉 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/DMFF">DMFF</a></b> (🥈13 ·  ⭐ 140 · 📉) - 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>
+