Alternatives and similar repositories for traceml:

Users that are interested in traceml are comparing it to the libraries listed below

• engarde-dev / engarde
  A library for defensive data analysis.
  ☆500Updated 5 years ago
• HHammond / PrettyPandas
  A Pandas Styler class for making beautiful tables
  ☆415Updated 2 years ago
• pdpipe / pdpipe
  Easy pipelines for pandas DataFrames.
  ☆718Updated 2 months ago
• NathanEpstein / Dora
  Tools for exploratory data analysis in Python
  ☆644Updated last year
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆463Updated 3 months ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated last month
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆489Updated 7 years ago
• pyjanitor-devs / pandas_flavor
  The easy way to write your own flavor of Pandas
  ☆301Updated 3 months ago
• timkpaine / lantern
  Data exploration glue
  ☆349Updated last month
• ShopRunner / jupyter-notify
  A Jupyter Notebook magic for browser notifications of cell completion
  ☆580Updated 2 years ago
• altair-viz / pdvega
  Interactive plotting for Pandas using Vega-Lite
  ☆344Updated 5 years ago
• ZaxR / bulwark
  Bulwark is a package for convenient property-based testing of pandas dataframes.
  ☆224Updated 4 years ago
• shawnbrown / datatest
  Tools for test driven data-wrangling and data validation.
  ☆295Updated 3 years ago
• chris1610 / sidetable
  sidetable builds simple but useful summary tables of your data
  ☆386Updated 2 years ago
• eyaltrabelsi / pandas-log
  The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common fun…
  ☆214Updated 3 years ago
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆959Updated this week
• pandas-ml / pandas-ml
  pandas, scikit-learn, xgboost and seaborn integration
  ☆318Updated 4 years ago
• nteract / scrapbook
  A library for recording and reading data in notebooks.
  ☆285Updated 2 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆224Updated 5 years ago
• stringertheory / traces
  A Python library for unevenly-spaced time series analysis
  ☆531Updated 4 months ago
• pyjanitor-devs / pyjanitor
  Clean APIs for data cleaning. Python implementation of R package Janitor
  ☆1,383Updated this week
• tdda / tdda
  Test-Driven Data Analysis Functions
  ☆296Updated last week
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆240Updated 6 years ago
• ReviewNB / treon
  Easy to use test framework for Jupyter Notebooks
  ☆306Updated 2 years ago
• d6t / d6tflow
  Python library for building highly effective data science workflows
  ☆950Updated last year
• intake / intake
  Intake is a lightweight package for finding, investigating, loading and disseminating data.
  ☆1,019Updated this week
• dask / dask-ml
  Scalable Machine Learning with Dask
  ☆912Updated last month
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• cpcloud / ipython-autotime
  Time everything in IPython
  ☆121Updated last year