Reverse Dependencies of pandas

The following projects have a declared dependency on pandas:

• AcodisApiHandler — A simple API handler for Python
• acom-music-box — An atmospheric chemistry box model. Powered by MUSICA.
• acopoweropt — Ant Colony Power Systems Optimizer
• acopy — Ant Colony Optimization for Tthe Traveling Salesman Problem.
• acore — A Python package with statistical functions to analyse multimodal molecular data
• acoss — Audio Cover Song Suite (acoss): A benchmarking suite for cover song identification tasks
• acoustic-odometry — Acoustic Odometry library
• acousticspy — Lots of simple acoustics calculations, all in one place.
• acoustipy — Tools for characterizing the acoustic performance of porous materials.
• acqpack — Library for instrument control and automated data acquisition
• acribis-scores — Implementation of several cardiovascular risk scores
• acro — ACRO: Tools for the Automatic Checking of Research Outputs
• acrocord — Python API for PostreSQL database
• acronym — ACRONYM (Acronym CReatiON for You and Me)
• acryl-datahub — A CLI to work with DataHub metadata
• acryl-datahub-classify — Library to predict info types for DataHub
• acryl-datahub-cloud — no summary
• acryl-iceberg-legacy — Acryl maintained copy of Iceberg Python bindings. Iceberg is a new table format for storing large, slow-moving tabular data
• acryl-sqlglot — An easily customizable SQL parser and transpiler
• acs-wrapper — A wrapper for the American Community Survey Data
• ACSCeND — A deep learning tool for bulk RNA-seq deconvolution and Stem Cells Sub-Class prediction.
• ACSNI — automatic context-specific network inference
• actarius — Opinionated wrappers for the mlflow tracking API.
• actinet — Activity detection algorithm compatible with the UK Biobank Accelerometer Dataset
• actinia-core — Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks
• actinrings — Python package for the equilibrium analysis of the paper "Constriction of actin rings by passive crosslinker".
• action-rules — The package for action rules mining using Action-Apriori (Apriori Modified for Action Rules Mining)..
• actionable-recourse — actionable-recourse is a python library for recourse verification and reporting.
• ACTIONet — ACTIONet single-cell analysis framework
• actionrules-lukassykora — Action rules mining package
• actipy — Python package to process wearable accelerometer data
• activetick-http — Pandas wrapper for ActiveTick HTTP Proxy
• activetigger — ActiveTigger in Python
• activity-4-entrega-Programacion-Ciencia-de-datos — A data analysis project for PEC4 UOC, Master Data Science
• activity-detection-evaluation — Library for evaluating activity detection
• actiwatch — Actiwatch is a Python module built for interacting with Philips Actiwatch actigraphy devices.
• actk — Automated Cell Toolkit
• actuapy — useful snippets for actuaries
• actuarialmath — A package for solving actuarial math and life contingent risks
• actuariat_python — Helpers for teaching purposes (includes sqllite helpers)
• actuarydesk — Tools for actuary to model and analyze simple products or for actuarial students to practice.
• actxps — Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports
• actymath — Actuarial Math and commutation functions for life insurance product - with a Pandas backend
• acutils-python — Data processing library implemented by Acuzle.
• acv-dev — ACV is a library that provides robust and accurate explanations for machine learning models or data
• acv-exp — ACV is a library that provides robust and accurate explanations for machine learning models or data
• AD20 — Automatic Differentiation package
• ada-client — A client for getting metadata from the NOIRLab Astro Data Archive.
• ada-core — ada_core is an anomaly detection library for timeseries data
• adabmDCA — Python implementation of Direct Coupling Analysis
• adadamp — Batch size estimation for machine learning training
• adagenes — Generic toolkit for processing DNA polymorphism data
• adala — Adala: Autonomous Data Labeling Agent
• adala-pk-test — ADALA: Automated Data Labeling Agent
• adalib — Python API for the AdaLab environment
• adam-core — Core libraries for the ADAM platform
• adamic — A package to create data dictionaries, given a Pandas df
• adams-shell-wear — Python tools for calculating and applying wear to shell geometry in Adams
• adamspy — Python tools for working with Adams data
• adansonia — Utils package for common operations
• adansons-base — Adansons Base
• adapapi — A simple Python package using Appen API
• adapta — Logging, data connectors, monitoring, secret handling and general lifehacks to make data people lives easier.
• adaptable — no summary
• adaptdl — Dynamic-resource trainer and scheduler for deep learning
• adaptdl-modified-pandyaka — Dynamic-resource trainer and scheduler for deep learning
• adapted-NERDA — A Framework for Finetuning Transformers for Named-Entity Recognition
• adapterio — I/O module
• adaptfx — Package for computing dose fractionation schemes in MR guided Adaptive Radiotherapy
• adaptive — Parallel active learning of mathematical functions
• adaptive-boxes — Python package for rectangular decomposition of 2D scenes/binary images
• adaptive-curvefitting — A tool for adaptive selection of curve-fitting models.
• adaptive-dataset — Demo library
• adaptive-dbscan — A python package for density adaptive DBSCAN clustering
• adaptive-scheduler — Run many `adaptive.Learner`s on many cores (>10k) using `mpi4py.futures`, `ipyparallel`, `dask-mpi`, or `process-pool`.
• adaptivebridge — Revolutionizing ML adaptive modelling for handling missing features and data. The model can predict missing data in real-world scenarios.
• AdaptiveDecisionMaking-2018 — Code and lab resources for Neural and Cognitive Models of Adaptive Decision Making course (2018)
• adaptivepca — An advanced PCA implementation with adaptive feature scaling and preprocessing
• AdaReader — A versatile library for reading datasets from multiple formats and generating synthetic datasets.
• adase-api — ADA Sentiment Explorer Python API
• adasher — Dash with analytics utilities
• adastop — no summary
• adaswarm — An implementation of particle swarm optimisation loss function for PyTorch
• adata — A Data,A Stock,ETF,Bond,Quant,Stock Market,K Line
• adb-grep-search — Executes GREP on your Android device, and returns a Pandas DataFrame
• adbactivityautolite — Uses -dumpsys activity top- instead of -uiautomator- to automate Android
• adbc-driver-manager — A generic entrypoint for ADBC drivers.
• adbc-driver-netezza — A libpq-based ADBC driver for working with Netezza.
• adbc-driver-postgresql — A libpq-based ADBC driver for working with PostgreSQL.
• adbc-driver-sqlite — An ADBC driver for working with SQLite.
• adbdevicechanger — Changes android_id / device_name
• adbdgl-adapter — Convert ArangoDB graphs to DGL & vice-versa.
• adbkeyeventparser — parses Android keycodes from the official documentation and returns a dictionary containing key information.
• adbkit — Big automation package for ADB
• adbpackagesmanager — Manages Android packages on a device through DataFrames
• adbpyg-adapter — Convert ArangoDB graphs to PyG & vice-versa.
• adbuiautolite — ADB - UiAutomator XML dump to pandas DataFrame
• AdcircPy — Python package for working with ADCIRC input and output files
• adcpipeline — A pipeline for a structured way of working
• add-labels-to-fcs — Package for adding columns of data to FCS files as additional channels