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README.md

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> ChemInformant's core mission is to serve as a high-performance data backbone for the Python cheminformatics ecosystem. As a software package that has undergone rigorous peer review by both the [Journal of Open Source Software (JOSS)](https://doi.org/10.21105/joss.08341) and [pyOpenSci](https://github.com/pyOpenSci/software-submission/issues/254), it delivers clean, validated, and analysis-ready Pandas DataFrames. This enables researchers to effortlessly pipe PubChem data into powerful toolkits like RDKit, Scikit-learn, or custom machine learning models, transforming multi-step data acquisition and wrangling tasks into single, elegant lines of code.
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> A detailed comparison with other existing tools is provided in our [JOSS paper](https://github.com/HzaCode/ChemInformant/blob/main/paper/paper.md).
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> A detailed comparison with other existing tools is provided in our [JOSS paper](https://github.com/HzaCode/ChemInformant/blob/main/paper/paper.md). Also, see a blog post about ChemInformant on the [official pyOpenSci website](https://www.pyopensci.org/).
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### 🤝 Contributing
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conda-recipe/meta.yaml

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