BambooLib
github.com/tkrabel/bamboolibbamboolib provides a graphical interface for working with Pandas DataFrames.
Looking for something like Pandas? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 13 are open source.
The pandas project provides open-source Python tools for analyzing and manipulating data.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | BambooLib | — | Not stated | — |
| 2 | Dora | — | Yes | — |
| 3 | Stan | — | Not stated | Web |
| 4 | emcee | — | Yes | — |
| 5 | astroML | — | Not stated | Web |
| 6 | mlxtend | — | Not stated | — |
| 7 | DataPrep | — | Yes | — |
| 8 | ImHex | — | Not stated | Web |
| 9 | Piperider | — | Yes | — |
| 10 | MultivariateStats | — | Not stated | — |
bamboolib provides a graphical interface for working with Pandas DataFrames.
Exploratory data analysis in Python is the focus of Dora, a library with functions for cleaning, feature selection, visualization, and validation.
Stan provides software for Bayesian data analysis, including tools for sophisticated statistical modeling.
emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.
AstroML provides Python tools for machine learning and data mining in astronomy.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.
Analyze binary data and use pattern language or disassembly in ImHex, an open-source hex editor for reverse engineers and developers.
PipeRider provided code review tools for dbt data and has been superseded by Recce.
MultivariateStats.jl provides Julia tools for multivariate statistics and data analysis, including dimension reduction.
statsmodels provides statistical modeling and econometrics tools in Python.
Incanter provides statistical computing and graphics tools for Clojure.
Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.
AWS Data Wrangler connects Pandas with AWS data services and databases, including Athena, Glue, Redshift, and S3.
DataComPy compares Pandas, Polars, Spark, and Snowpark dataframes, with output that includes comparison statistics.
Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly.
Mars provides tensor-based tools for large-scale computation with NumPy, Pandas, and scikit-learn.
Polars provides a Rust query engine for DataFrames, with a Python interface for data work.
The Cerberus library validates data in Python with a lightweight and extensible design.
Wind data sources can be accessed from Python with windML, a framework built on NumPy, SciPy, scikit-learn, and Matplotlib.
Use Intake, a Python package, to find, load, and share data in data science projects.
This utility converts cURL commands into code for languages including Python and JavaScript.
SmartScripter generates custom scripts in Excel VBA, Google Apps Script, Bash, JavaScript, PowerShell, and Python.
PyDy provides Python tools for modeling the dynamics of multibody mechanical systems.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative