Projects
- pipeline_func — A utility for calling functions in pipelines.
- pipeline-functions — Class for manipulating a pipeline of functions, creating chains of functions processing the same context
- pipeline-generator — A pipeline generator in python
- pipeline-ha — Package for NLP Pipeline
- pipeline-integrity — Pipeline integrity calculation
- pipeline-live — Zipline Pipeline extension for live trade
- pipeline-logger — PipelineAI Logger
- pipeline-material — Pipeline material class for static integrity calculation
- pipeline-materials-file — Pipeline materials file for static integrity calculation
- pipeline-mermaid — Useful tool to show Gitlab pipeline as mermaid
- pipeline-model — PipelineAI Model
- pipeline-monitor — PipelineAI Monitor
- pipeline-name — no summary
- pipeline-notifier — A small example package
- pipeline-optimizer — Pipeline Optimizer is a Python library that aims to simplify and automate the machine learning pipeline, from preprocessing and testing to deployment. By providing a reusable infrastructure, the library allows you to manage custom preprocessing functions and reuse them effortlessly during the deployment of your project. This is particularly useful when dealing with a large number of custom functions.
- pipeline-optuna — model pipeline with optuna
- pipeline-parallel — "To run processes in parallel by managing CPU and RAM. Initially designed for JWST pipeline"
- pipeline-penguin — Pipeline Penguin is a versatile python library for data quality.
- pipeline-reader — A package for reading Jenkinsfile-like pipeline files
- pipeline-runtime — PipelineAI Runtime
- pipeline-taeuk4958 — package to load file from docker local in docker container during container running
- pipeline-telemetry — Create and store data pipeline telemetry data
- pipeline-tool — Alow splitting of big model in multiple GPU for training
- pipeline-toolkit-predict — PyPi package created by Schibsted's Product & Application Security team.
- pipeline-turbo — Accelerate your processing pipeline
- pipeline-utils — Utility functions for Coral Atlas Pipelines
- pipeline-vilma — Data pipeline
- pipeline-viz — Visualization tool for sklearn pipelines
- pipelinechain — A library that implements the Chain of Responsibility pattern.
- pipelinedb-py — A pipelinedb client python project
- pipelinedummy2001 — Questo assignment si concentra sulla creazione di un'applicazione che conta e monitora le visualizzazioni degli utenti
- pipelinehelper — Swaps scikit pipeline elements but also supports grid parameter configurations.
- pipelinelocalrun — Package to support pipeline local run
- pipelinenode — Pipeline Builder
- pipelineprofiler — Pipeline Profiler tool. Enables the exploration of D3M pipelines in Jupyter Notebooks
- pipelinepy — An Adobe IMS authorization code flow used with the OAuth Kafka client for Python (kafka-python-ng).
- pipelines-test — SkillCorner API client
- pipelineservice — Auto machine learning, deep learning library in Python.
- pipelinetest — no summary
- PipelineTS — One-stop time series analysis tool, supporting time series data preprocessing, feature engineering, model training, model evaluation, model prediction, etc. Based on spinesTS and darts.
- pipelineutils — Drone pipeline workflow utilities
- pipelineviewer — CPU Pipeline Viewer
- pipelinewise-singer-python — Singer.io utility library - PipelineWise compatible
- pipelinewise-tap-github — Singer.io tap for extracting data from the GitHub API
- pipelinewise-tap-google-analytics — Singer.io tap for extracting data from the Google Analytics Reporting API
- pipelinewise-tap-kafka — Singer.io tap for extracting data from Kafka topic - PipelineWise compatible
- pipelinewise-tap-mixpanel — Singer.io tap for extracting data from the mixpanel API - PipelineWise compatible
- pipelinewise-tap-mongodb — Singer.io tap for extracting data from MongoDB - Pipelinewise compatible
- pipelinewise-tap-mysql — Singer.io tap for extracting data from MySQL & MariaDB - PipelineWise compatible
- pipelinewise-tap-postgres — Singer.io tap for extracting data from PostgresSQL - PipelineWise compatible
- pipelinewise-tap-s3-csv — Singer.io tap for extracting CSV files from S3 - PipelineWise compatible
- pipelinewise-tap-salesforce — Singer.io tap for extracting data from the Salesforce API - PipelineWise compatible
- pipelinewise-tap-slack — Singer.io tap for extracting data from the Slack Web API - PipelineWise compatible
- pipelinewise-tap-snowflake — Singer.io tap for extracting data from Snowflake - PipelineWise compatible
- pipelinewise-tap-twilio — Singer.io tap for extracting data from the Twilio API - PipelineWise compatible
- pipelinewise-tap-zendesk — Singer.io tap for extracting data from the Zendesk API
- pipelinewise-tap-zuora — Singer.io tap for extracting data from the Zuora API - PipelineWise compatible
- pipelinewise-target-bigquery — Singer.io target for loading data to BigQuery - PipelineWise compatible
- pipelinewise-target-postgres — Singer.io target for loading data to PostgreSQL - PipelineWise compatible
- pipelinewise-target-redshift — Singer.io target for loading data to Amazon Redshift - PipelineWise compatible
- pipelinewise-target-redshift-fix — Singer.io target for loading data to Amazon Redshift - PipelineWise compatible
- pipelinewise-target-s3-csv — Singer.io target for writing CSV files and upload to S3 - PipelineWise compatible
- pipelinewise-target-snowflake — Singer.io target for loading data to Snowflake - PipelineWise compatible
- pipelinewise-transform-field — Singer.io simple field transformer between taps and targets - PipelineWise compatible
- pipelinex — PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
- pipelining — Declarative pipelines on top of python multiprocessing artifacts
- pipelinr — no summary
- pipelit — Tool to automagically build data pipelines.
- pipelite — This solution build by design (configuration) simple of complex Data Pipelines
- pipelitools — Tools for data analysis
- pipeln — A Python package to create a custom pipeline
- pipelog — A python packages to make functional pandas pipelines more transparent.
- pipemesh — A package for making pipe network meshes.
- pipen — A pipeline framework for python
- pipen-annotate — Use docstring to annotate pipen processes
- pipen-args — Command-line argument parser for pipen.
- pipen-board — Visualization configuration and running of pipen pipelines on the web
- pipen-cli-init — A pipen cli plugin to create a pipen project (pipeline)
- pipen-cli-ref — Make API reference documentation for pipen pipeline/processes
- pipen-cli-require — A pipen cli plugin to check requirements for processes of a pipeline
- pipen-cli-run — A pipen cli plugin to run a process or a pipeline
- pipen-diagram — Draw pipeline diagrams for pipen.
- pipen-dry — Dry runner for pipen pipelines
- pipen-filters — Add a set of useful filters for pipen templates
- pipen-lock — Process lock for pipen to prevent multiple runs at the same time
- pipen-log2file — Add verbosal information in logs for pipen.
- pipen-poplog — Populate logs from jobs to running log of the pipeline
- pipen-report — Report generation system for pipen
- pipen-runinfo — Generate running information for jobs in pipen pipelines
- pipen-verbose — Add verbosal information in logs for pipen.
- pipenode — A clone of Spotify's Luigi library with less features and intended for workflows on a single machine.
- pipenv — Python Development Workflow for Humans.
- pipenv-check — View installed pip packages and their update status.
- pipenv-cn — no summary
- pipenv-d — dirty hack of pipenv
- pipenv-devcheck — Pipenv/setup.py dependency comparison tool
- pipenv-freeze — Easily freeze all requirements in your Pipenv file
- pipenv-package-requirements — Pipenv tools for requirements.txt
- pipenv-pex — Generate Python executable files via PEX using info from Pipfile
- pipenv-pipes — CLI Tool to help manage Pipenv Enviroments and corresponding Project Directories.