Python Science and Data analysis

Open-source Python projects categorized as Science and Data analysis
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Top 23 Python Science and Data analysis Projects

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    • Project mention: The ultimate guide to creating a secure Python package | dev.to | 2024-05-08

    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:

  • NumPy

    The fundamental package for scientific computing with Python.

    • Project mention: Taming Floating-Point Sums | news.ycombinator.com | 2024-05-25

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • NetworkX

    Network Analysis in Python

    • Project mention: Routes to LANL from 186 sites on the Internet | news.ycombinator.com | 2024-03-04

    Built from this data... https://github.com/networkx/networkx/blob/main/examples/grap...

  • SciPy

    SciPy library main repository

    • Project mention: What Is a Schur Decomposition? | news.ycombinator.com | 2024-03-04

    I guess it is a rite of passage to rewrite it. I'm doing it for SciPy too together with Propack in [1]. Somebody already mentioned your repo. Thank you for your efforts.

    [1]: https://github.com/scipy/scipy/issues/18566

  • SymPy

    A computer algebra system written in pure Python

    • Project mention: AutoCodeRover resolves 22% of real-world GitHub in SWE-bench lite | news.ycombinator.com | 2024-04-09

    Thank you for your interest. There are some interesting examples in the SWE-bench-lite benchmark which are resolved by AutoCodeRover:

    - From sympy: https://github.com/sympy/sympy/issues/13643. AutoCodeRover's patch for it: https://github.com/nus-apr/auto-code-rover/blob/main/results...

    - Another one from scikit-learn: https://github.com/scikit-learn/scikit-learn/issues/13070. AutoCodeRover's patch (https://github.com/nus-apr/auto-code-rover/blob/main/results...) modified a few lines below (compared to the developer patch) and wrote a different comment.

    There are more examples in the results directory (https://github.com/nus-apr/auto-code-rover/tree/main/results).

  • Dask

    Parallel computing with task scheduling

    • Project mention: The Distributed Tensor Algebra Compiler (2022) | news.ycombinator.com | 2023-06-15

  • pygwalker

    PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

    • Project mention: Show HN: Use an "eraser" to clean data on flight without breaking your workflow | news.ycombinator.com | 2024-03-15

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  • statsmodels

    Statsmodels: statistical modeling and econometrics in Python

  • Numba

    NumPy aware dynamic Python compiler using LLVM

    • Project mention: MojošŸ”„: Head -to-Head with Python and Numba | dev.to | 2023-09-27

    Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code.

  • PyMC

    Bayesian Modeling and Probabilistic Programming in Python

  • BigDL

    Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.

    • Project mention: LLaMA Now Goes Faster on CPUs | news.ycombinator.com | 2024-03-31

    Any performance benchmark against intel's 'IPEX-LLM'[0] or others?

    [0] - https://github.com/intel-analytics/ipex-llm

  • orange

    šŸŠ :bar_chart: :bulb: Orange: Interactive data analysis

    • Project mention: Hierarchical Clustering | news.ycombinator.com | 2024-04-20

    I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.

    Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.

    https://orangedatamining.com/

    https://orange3.readthedocs.io/projects/orange-visual-progra...

  • astropy

    Astronomy and astrophysics core library

    • Project mention: Julia 1.10 Released | news.ycombinator.com | 2023-12-27

    Astropy [0] lives at the heart of most work. It has a Python interface, often backed by Fortran and C++ extension modules. If you use Astropy, you're indirectly using libraries like ERFA [6] and cfitsio [7] which are in C/Fortran.

    I personally end up doing a lot of work that uses the HEALPix sky tesselation, so I use healpy [2] as well.

    Openorb is perhaps a good example of a pure-Fortran package that I use quite. frequently for orbit propagation [3].

    In C, there's Rebound [4] (for N-body simulations) and ASSIST [5] (which extends Rebound to use JPL's pre-calculated positions of major perturbers, and expands the force model to account for general relativity).

    There are many more, these are just ones that come to mind from frequent usage in the last few months.

    [0] https://www.astropy.org/

  • Biopython

    Official git repository for Biopython (originally converted from CVS)

    • Project mention: InvitaciĆ³n a proyecto - Biopython en EspaƱol | /r/devsarg | 2023-07-23

  • blaze

    NumPy and Pandas interface to Big Data

    • Project mention: Blaze: Fast query execution engine for Apache Spark | news.ycombinator.com | 2023-10-19

    Unfortunate name overlap with an under-loved PyData project: https://blaze.pydata.org

  • fugue

    A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

    • Project mention: FLaNK Stack Weekly 22 January 2024 | dev.to | 2024-01-22

  • Cubes

    [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis

  • bcbio-nextgen

    Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

  • Neupy

    NeuPy is a Tensorflow based python library for prototyping and building neural networks

  • NIPY

    Workflows and interfaces for neuroimaging packages

  • bccb

    Incubator for useful bioinformatics code, primarily in Python and R

  • Bubbles

    [NOT MAINTAINED] Bubbles ā€“ Python ETL framework (by Stiivi)

  • PyDy

    Multibody dynamics tool kit.

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python Science and Data analysis related posts

Index

What are some of the best open-source Science and Data analysis projects in Python? This list will help you:

Project Stars
1 Pandas 42,217
2 NumPy 26,567
3 NetworkX 14,278
4 SciPy 12,532
5 SymPy 12,474
6 Dask 12,078
7 pygwalker 10,213
8 statsmodels 9,621
9 Numba 9,512
10 PyMC 8,219
11 BigDL 6,099
12 orange 4,648
13 astropy 4,250
14 Biopython 4,194
15 blaze 3,180
16 fugue 1,891
17 Cubes 1,490
18 bcbio-nextgen 978
19 Neupy 740
20 NIPY 738
21 bccb 595
22 Bubbles 450
23 PyDy 346

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