What is Mito?
It is a spreadsheet that lives inside your JupyterLab notebooks. It allows you to edit Pandas dataframes like an Excel file, and generates Python code that corresponds to each of your edits.
Mito is a tool in the Data Science Tools category of a tech stack.
Mito is an open source tool with GitHub stars and GitHub forks. Here’s a link to Mito's open source repository on GitHub
- Point-and-click CSV and XLSX import
- Excel-style pivot tables
- Graph generation
- Filtering and sorting
- Merge (lookups)
- Excel-Style formulas
- Column summary statistics
Mito Alternatives & Comparisons
What are some alternatives to Mito?
See all alternatives
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
No related comparisons found