Reverse Dependencies of plotly
The following projects have a declared dependency on plotly:
- crillab-autograph — AUtogRAPH - A Unified libRary for drAwing Plots in pytHon
- crim-intervals — CRIM intervals package
- criticalityMaps — WNTR utility for generating criticality maps
- crowdom — Crowdom
- crtoolbox — The Confidence Regions Toolbox
- cryoemservices — Services for CryoEM processing
- cryptkeeper — Package for predicting functional components of DNA sequences
- Crypto-Graphics — Crypto Visaulization data App
- cryptoXam — A Data Science Package written in python.
- crystal-toolkit — no summary
- crystalai — Python client library for the Crystal Computing AI API
- crystex — no summary
- cs-demand-model — Python port of Social Finance's children's social care demand model
- cs-trade — no summary
- csaad-crypto2 — no summary
- csv2shap — 输入csv文件以及二分类的label名称,输出shap value图
- ctrl-bench — The Continual Transfer Learning Benchmark
- ctrl-benchmark — The Continual Transfer Learning Benchmark
- cts3-viewer — CTS3 Waveform Viewer
- cubapy — no summary
- cufflinks-ardihikaru — Productivity Tools for Plotly + Pandas
- cufflinks1 — Productivity Tools for Plotly + Pandas
- custom-plotly-templates — Custom templates and configurations for Plotly
- custom_py_docx — Library to create DOCX facility using python-docx
- cv-validator — Tool for validating your computer vision data and model results.
- cve-bin-tool — CVE Binary Checker Tool
- cvrmap — CVRmap is an opensource software to compute maps of Cerebro-Vascular Reactivity
- cvxcla — Critical line algorithm for the efficient frontier
- cvxsimulator — Simple simulator for investors
- cwordtm — CWordTM - Topic Modeling Toolkit
- cycling-dynamics — Cycling (Bicycling) models of motion, air drag, rolling resistance, power calculations.
- cyfi — Estimate cyanobacteria density in small, inland water bodies using Sentinel-2 satellite imagery.
- czitools — Tools to simplify reading CZI (Carl Zeiss Image) meta and pixel data
- czsc — 缠中说禅技术分析工具
- d2py — Dive into Python.
- DA4RDM-Vis-VectorBased — Package that can be used to perform RDLC analysis by determining the correlations for the different phases of the development life cycle.
- daisypy-vis — Visualization module for Daisy log files (dlf)
- DAJIN2 — One-step genotyping tools for targeted long-read sequencing
- dalex — DALEX in Python
- dara-components — Components for the Dara Framework
- darktable-lut-generator — Estimate a .cube 3D lookup table from camera images for the Darktable lut 3D module.
- darwinexAPIs — Python wrapper for Darwinex APIs
- dash-annotate-cv — A Python library for computer vision annotation tasks using Dash
- dash-canvas — Sketching pad for dash based on react-sketch
- dash-finance — Lightweight finance chart plotter
- dash-slicer — A volume slicer for Dash
- dash-snapshot-testing — Dash snapshot testing package
- dash-template-rendering — Dash Python extention for rendering Jinja2 templates.
- dash-tokamak — Dash without the annoying bits. Main goals of this fork are (1) to enable Python to write state data to arbitrary component props, not just ones defined by a specific component; and (2) support React-style functional property values by binding unary functional expressions to the global application state, executing them whenever the property is accessed.
- dash-tools-reflejar — Herramientas de Dash construidas sobre el ecosistema de desarrollo de reflejar para crear fácilmente componentes de visualización y geolocalización.
- Dash-tooltip — A tooltip functionality for Dash.
- dashboard-builder — A lightweight dashboard builder for data scientists.
- dashhtmlgrid — Generic python package for a plotly dash grid
- dashstan — Dashboard for Stan MCMC simulations.
- data-describe — A Pythonic EDA Accelerator for Data Science
- data-modori — LMOps Tool for Korean
- data-purifier — A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning and Automated Data Preprocessing For Machine Learning and Natural Language Processing Applications in Python.
- data-science-toolkit — Data Science Toolkit (DST) is a Python library that helps implement data science related project with ease.
- datacataloguesystem — This library is used to discover and assign metadata to large unrefined data sets
- dataframe-to-image — Convert Pandas DataFrame to Image
- DataGuru — The "DataGuru" library is a comprehensive Python toolkit designed to simplify common data analysis tasks for data science students and practitioners. With a focus on ease of use and efficiency, this library provides a range of functions to streamline your data analysis workflow.
- datalab — Google Cloud Datalab
- datamallet — Helper tools for the data science workflow
- datameetpdf — Create PDF by using selected different data outputs
- datapane — Datapane client library and CLI tool
- dataplotter — Generate plots from data
- datarobot-ts-helpers — A package with helper scripts for complex DataRobot AutoTS use cases
- datasaku — A small example package
- datascience — A Jupyter notebook Python library for introductory data science
- datascientists — Quick Data Science tools.
- datasetinsights — Synthetic dataset insights.
- datatour — DataTour: See your data in its native dimensions!
- dataverk-tools — Theming and colors for dataverker and python dataviz
- datawaza — Datawaza is a collection of tools for data exploration, visualization, data cleaning, pipeline creation, model iteration, and evaluation.
- datmo — Open source model tracking tool for developers
- dbbs-models — Collection of neuron models for the NEURON simulator
- dbbs-scaffold — A package for modelling morphologically detailed neuronal microcircuits.
- Dbias — Detect, Recognize and de-bias textual data.
- dbmsbenchmarker — DBMS-Benchmarker is a Python-based application-level blackbox benchmark tool for Database Management Systems (DBMS). It connects to a given list of DBMS (via JDBC) and runs a given list of parametrized and randomized (SQL) benchmark queries. Evaluations are available via Python interface, in reports and at an interactive multi-dimensional dashboard.
- DBRetina — DBRetina Python Package
- dbt-ai — AI powered DBT helper application
- dbt-snapshot-analysis — A package for analyzing snapshots
- dcase-models — Python library for rapid prototyping of environmental sound analysis systems
- de-workflow — no summary
- decision-tool — Decision analysis package with solution and visualization.
- decOM — decOM: Similarity-based microbial source tracking for contamination assessment of ancient oral samples using k-mer-based methods
- deep-learning-framework — no summary
- deep-piste — Evaluating the impact of IA on Breast Cancer Screening Program
- deepchecks — Package for validating your machine learning model and data
- deepcolor — Analyze colocalization patterns between single cell gene expression profiles.
- deepdriver — deepdriver experiments
- deephaven-plugin-plotly — Deephaven Plugin for Plotly
- deephaven-plugin-plotly-express — Deephaven Chart Plugin
- deepmol — DeepMol: a python-based machine and deep learning framework for drug discovery
- deepmreye — MR-based eye tracker without eye tracking
- deepof — A suite for postprocessing time-series extracted from videos of freely moving rodents using DeepLabCut
- deepsafe — Deep learning aided movie content moderation tools.
- deepTools — Useful tools for exploring deep sequencing data.
- deetly — toolkit for creating data packages
- DeFi-Assessment — A prototype project to perfrom risk assessment for DeFi lending platforms.