Projects
- datanommer.models — SQLAlchemy models for datanommer
- datanorm — Handling DATANORM 4 files with Python
- DataNormalizer — Package to help with normalizing data needed for the platform!
- dataobjtools — Data Object helpers for Dicts and Lists for searching, managing, manipulating etc
- DataOCREnhanceMain — A toolkit for performing OCR (Optical Character Recognition) tasks
- dataone.cli — Command-Line Interface (CLI) for DataONE
- dataone.common — Contains functionality common to projects that interact with the DataONE infrastructure via Python
- dataone.csw — DataONE OpenGIS Catalogue Service for the Web (CSW) Harvester
- dataone.dev — DataONE developer tools
- dataone.doc — Documentation for the DataONE Python products
- dataone.gmn — DataONE Generic Member Node (GMN)
- dataone.libclient — A DataONE client library for Python
- dataone.onedrive — Filesystem access to the DataONE Workspace
- dataone.scimeta — Utilities for processing Science Metadata
- dataone.test_utilities — Utilities for testing DataONE infrastructure components
- dataone.util — DataONE Utilities and Examples
- dataop — A small example package
- dataopen-sdk-python — 火山Dataopen python 语言sdk
- dataops-salesforce-bulk — Python interface to the Salesforce.com Bulk API.
- dataops-toolkits — Gadget Collection of DataOps in MLOps
- dataos — Quiet Modem, to transmit data with sound
- dataos-calculator — no summary
- dataos-cookiecutter — Dataos Cookiecutter
- dataos-pyflare — Pyspark bridge to dataos
- dataos-sdk-py — Data OS SDK Python
- dataoutsider — Data visualization toolbox.
- datapac — no summary
- datapack-generator — no summary
- datapackage — Utilities to work with Data Packages as defined on specs.frictionlessdata.io
- datapackage-convert — Convert your datapackages
- datapackage-pipelines — {{ DESCRIPTION }}
- datapackage-pipelines-ckan — {{ DESCRIPTION }}
- datapackage-pipelines-datahub — {{ DESCRIPTION }}
- datapackage-pipelines-elasticsearch — {{ DESCRIPTION }}
- datapackage-pipelines-fiscal — Fiscal Data Package extensions for Datapackage Pipelines
- datapackage-pipelines-goodtables — {{ DESCRIPTION }}
- datapackage-pipelines-metrics — no summary
- datapackage-pipelines-spss — {{ DESCRIPTION }}
- datapackage-to-datasette — Import Frictionless Data Datapackages into SQLite and generate Datasette metadata
- datapact — "improve how we work with evolving data"
- datapage — Cool Python app built with Pyrustic
- datapak — DATAPAK
- datapan — datapan filters (big) files.
- datapane — Datapane client library and CLI tool
- datapane-components — Reusable Datapane components and sample reports and apps
- datapanels — An application for displaying a rotating set of information panels
- dataparcel — Serverless ETL framework
- dataparrots-test — Query Your Databaseln Natural Language!
- dataparser — A simple data storing file writer using JSON
- dataParserCls — Data parser for classification
- DataParserLib — A python data parsing library intended to parse dictionaries, lists, and other common structured data
- dataparsers — A wrapper around argparse to get command line argument parsers from dataclasses
- datapatch — no summary
- datapath — Easily navigate nested data structures for building readable data pipelines.
- datapeach-cli — no summary
- datapeach-wrapper — datapeach wrapper
- datapeek — A python package to display data in a more fluent and well formatted manner using colours and smart formatting
- datapenosql — DataPeno SQL Query Builder Utility
- dataphile — Data analytics library and command line data-ops tools.
- datapick — The official datapick SDK for Python
- datapilot-cli — Assistant for Data Teams
- datapipe-app — no summary
- datapipe-core — `datapipe` is a realtime incremental ETL library for Python application
- datapipe-label-studio-lite — no summary
- DataPipelineExecutor — A package to execute Copy and Stored Procedure tasks on data
- datapipeliner — dvc-ready data pipelines.
- datapipelinev1 — will read csv file and remove rows with null values
- datapipes — DataPipes for open data
- dataplane — The data engineering library to build robust, reliable and on time data pipelines in Python.
- dataplate — DataPlate Python API - interact with Dataplate webserver
- dataplate-lab — DataPlate ML Platform's Jupyter Lab Extension for easy notebook operations
- DataPlatform-test — DataPlatform package. Including crawl images by queries from search engine, download images and generate training tsv, etc.
- dataplay — Code Tutorials
- dataplaybook — Playbooks for data. Open, process and save table based data.
- dataplicity — Platform for connected devices
- dataplicity_websocket_client — WebSocket client for python. hybi13 is supported.
- dataplot — Provides plotters useful in datascience.
- dataplotter — Generate plots from data
- dataplug — Schemaless, NoSQL, multi-model data interactions on top ArangoDB
- datapoint — Python interface to the Met Office's Datapoint API
- datapoints — Управление данными
- datapools — Awesome datapools created by openlicenseai
- dataportal — 공공데이터포털 api 다운로드
- dataporten-auth — A plugin for python-social-auth to authenticate with dataporten
- dataporter — convert csv to csv/json/sql or convert sql to csv
- datappkit — datapp team kit wrapper library
- DataPrekit — A toolkit for preprocessing datasets for machine learning and data analysis.
- dataprep — Dataprep: Data Preparation in Python
- dataprep-ml — Automated dataframe analysis for Machine Learning pipelines.
- dataprep-tools — Utils to prepare data for filecoin deals
- DataPrepKit — Class to seamlessly read data from various file formats, provide a data summary, handle missing values, and encode categorical data.
- DataPrepKit-momo — no summary
- DataPrepKit-momoV — no summary
- DataPrepKit-mv — no summary
- DataPrepKit011 — a comprehensive toolkit
- DataPrepKit2Ahmed — Class to seamlessly read data from various file formats, provide a data summary, handle missing values, and encode categorical data.
- DataPrepKit3 — a comprehensive toolkit
- DataPrepKit4 — a comprehensive toolkit
- DataPrepKit5 — a comprehensive toolkit
- DataPrepKit5.6 — this package help you anlayze your data file insted of its type