Reverse Dependencies of plotly
The following projects have a declared dependency on plotly:
- owl-python — Lightweight ML library for image analysis
- owlman — 금융 분석을 위한 툴 모음
- p4x — Philipp Tempel's Personal Python Package. Includes lots of self-made modules and methods.
- packetvisualization — packet visualization
- pailab — pailab the integrated machine learning workbench
- pakkenellik — Swiss army knife for Bord4's data anlysis
- palaestrai — A Training Ground for Autonomous Agents
- palaestrai-agents — Implementation of src-algorithms for ARL.
- pami — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
- Pandas-Data-Exploration-Utility-Package — Utility functions to help with exploratory data analysis on top the Pandas APIs
- pandas-eda — Exploratory Data Analysis app to display table and frequent values for each column
- pandas-intervals — Pandas extention for Dataframes of intervals
- pandas-plotly — no summary
- pandas-plots — A collection of helper for table handling and vizualization
- pandas-visual-analysis — A package for interactive visual analysis in Jupyter notebooks.
- pandasai — Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
- pandora-app — Streamlit interface for the pandora_ai project.
- panel — A high level app and dashboarding solution for Python.
- paneleventstudy — This module implements the panel (and single entity) event study models, covering the naive two-way fixed effects implementation, and the interaction-weighted implementation from Sun and Abraham (2021).
- PAPyA — A library for performance analysis of sql based RDF graph processing systems
- paramak — Create 3D fusion reactor CAD models based on input parameters
- parameterized-mortgage — A simple python package to provide mortgage repayment calculations using the French method of amortization
- pardon — The Data Transformation and Machine Learning Accelerator
- paref — Pareto reflection based multi-objective optimization
- parseUALF — Python class that allows for a python requests response received in the universal ascii lightning format to be parsed to a pandas dataframe object.
- parsl — Simple data dependent workflows in Python
- password-smelter — A password analyzer with pretty graphs and a dark mode
- pastas — Pastas is an open-source Python framework for the analysis of groundwater time series.
- pathfinding3d — Pathfinding algorithms in 3D grids (based on python-pathfinding)
- payoffgraph-juttu — Get the most beautiful Payoff Chart using a single simple function
- pbgca — Physically based galaxy clustering algorithm
- pcalf — Search calcyanin in a set of amino acid sequences
- pcoss-scheduler-pkg-ksazon — Tabular data PCOSS calculations module
- pct — Perceptual Control Theory with Python
- pcw-regrs-py — Fast, optimal, extensible and cross-validated heterogeneous piecewise polynomial regression for timeseries.
- pdesy — pDESy: Discrete Event Simulation of Python
- pdlpy — Probability Distribution Library for Python
- pdopt — Package for Probabilistic Design Space Exploration using Set-Based Design
- pdpatch — New methods for pandas DataFrame and Series.
- pdstools — Open source tooling that helps Data Scientists to analyze Pega models and conduct impactful analyses.
- PDSUtilities — Utilities for data science in python
- peak-finder-app — Peak Finder App
- pebba — A tool for ORA meta-analysis
- peer-lilo — Fast and friendly system identification for structures.
- PeerAnnot — Crowdsourcing library
- pelican-stat — Command line tool that generates pelican article statistics
- pepars — no summary
- pepper-fusion — Pepper Fusion - A Comprehensive Testing Framework
- pept — A Python library that unifies Positron Emission Particle Tracking (PEPT) research, including tracking, simulation, data analysis and visualisation tools.
- perfassess — Access the performance of a given function and create plot.
- perfbench — perfbench measures execution time of code snippets with Timeit and uses Plotly to visualize the results.
- perfectreports — Custom Reports
- perfectreportstest — Custom Reports
- performance-analysis — Performance indicators calculation and Time series visualization
- permmod — A package to calculate the permeability of rock samples
- persistable-clustering — Density-based clustering for exploratory data analysis based on multi-parameter persistence
- persyn — Personality Syndrome. Persyn for short.
- perturb-tools — perturb-tools - Analysis Framework for Pooled CRISPR Genome Editing Screens.
- pesticide — Inspect your models and get rid of bugs in your Arboretum.
- pesummary — Python package to produce summary pages for Parameter estimation codes
- petrodc — Petroleum Data Collector
- petroflow — A framework for well data processing
- PFAS-SAT — Perfluoroalkyl Substances Systems Analysis Tool (PFAS_SAT)
- pfolio — Portfolio Management Library, including analysis, analytics and optimization
- pfse_starterkit — A module to designed to perform package installations, and verification of install,
- pH-diagrams — Python package to plot pH diagrams
- phamclust — Cluster genomes based on gene phamily data
- pharaoh-report — Pharaoh is a Sphinx-based Python framework for generating reports in various formats by combining the power of configurable Jinja templates and Python scripts for asset generation.
- pharmbio — This is a Python package for interacting with Pharmb.io routine analysis.
- PhasorMath — A basic python package for phasor calculation and phasor represention
- pheval — no summary
- phigaro — Phigaro is a scalable command-line tool for predicting phages and prophages.
- phitter — Find the best probability distribution for your dataset
- phlash — Bayesian inference of population size history from recombining sequence data.
- phones — A collection of utilities for handling IPA phones.
- photonai — PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.
- pht-station — Python library for handling containerized PHT trains
- physt — P(i/y)thon h(i/y)stograms.
- picosnitch — Monitor network traffic per executable using BPF
- pictorial — Python package for plotting
- picture-text — Interactive tree-maps for text corpora with SBERT & Hierarchical Clustering (HAC)
- picturedrocks — Single Cell RNA Sequencing Marker Selection Package
- pidp_tools — A collection of visualization and analysis tools for particle identification
- pih-doc — PIH Documents service package
- pimms-learn — Imputing (MS-based prote-) omics data using self supervised deep learning models
- pipecapacity — Pipe Capacity usnig code calculations
- pipedash — Develop new code for your pipedash widgets
- pipeline-viz — Visualization tool for sklearn pipelines
- pipelinex — PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
- piro — piro is software designed to assist in planning of synthesis pathways for inorganics
- pitchly — A python package that is a wrapper for Plotly to generate football tracking and event data plots
- pivotpy — A description of your project
- pixiu — PiXiu - A trading backtesting tool similar to MT4/MT5
- plably — A simple plotly utility to generate graphs for my lab reports.
- planktonspace — A point process analysis package
- pLAtYpus-TNO — The pLAtYpus model for engagement levels of stakeholders
- plot-coverage — Python package to generate plots from coverage report
- plotador — Interface para ilustracao grafica de arquivos de modelos energeticos
- plotbox — Plotting library with a common API for static and interactive visualization
- plotgen — A plotly plotting script generator and data parser