Python Science and Data analysis

Open-source Python projects categorized as Science and Data analysis

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: Deploying a Serverless Dash App with AWS SAM and Lambda | dev.to | 2024-03-04

    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.

  • NumPy

    The fundamental package for scientific computing with Python.

  • Project mention: Dot vs Matrix vs Element-wise multiplication in PyTorch | dev.to | 2024-03-20

    In NumPy with @, dot() or matmul():

  • 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.

    InfluxDB logo
  • 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
  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • 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, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, 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

  • Project mention: Deep Sleep May Be the Best Defense Against Alzheimerā€™s | news.ycombinator.com | 2023-05-22

    Re WGS there are a lot of well established tool chains that are FLOSS (eg https://github.com/bcbio/bcbio-nextgen). You could run alignment and variant calling on a beefy workstation. A laptop would potentially work. Easy to test this with publicly available raw data. Another option: The sequencing provider often will run alignment and some default variant calling for you. Annotating and analysing these variants can be done on pretty much any computer, all with open source software. A SNP chip is even easier to deal with as the computational requirements are less.

    Interpreting the results is a more manual process. Really depends on what you are interested in.

  • 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.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
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 41,923
2 NumPy 26,360
3 NetworkX 14,178
4 SciPy 12,431
5 SymPy 12,384
6 Dask 11,999
7 pygwalker 9,759
8 statsmodels 9,534
9 Numba 9,432
10 PyMC 8,155
11 BigDL 5,910
12 orange 4,604
13 astropy 4,210
14 Biopython 4,167
15 blaze 3,182
16 fugue 1,876
17 Cubes 1,490
18 bcbio-nextgen 973
19 Neupy 740
20 NIPY 731
21 bccb 593
22 Bubbles 450
23 PyDy 346

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com