Reverse Dependencies of plotly
The following projects have a declared dependency on plotly:
- biaslyze — The NLP Bias Identification Toolkit
- bigcode-embeddings — Tool generate and visualize embeddings from bigcode
- bigot — Benchmarking library with Space and Time Complexity estimation
- bilby — A user-friendly Bayesian inference library
- binclass-tools — A set of tools that facilitates the analysis of binary classification problems
- binn — A package to generate and interpret biologically informed neural networks.
- binpan — Binance API wrapper with backtesting tools.
- bio-corgi — Classifier for ORganelle Genomes Inter alia
- bio-embeddings — A pipeline for protein embedding generation and visualization
- biobookshelf — a collection of python scripts and functions for exploratory analysis of bioinformatic data in Python
- biobss — A biological signal processing and feature extraction library.
- bioimageloader — load bioimages for machine learning
- biometrics — Package to generate sample based biometrics.
- bios0032utils — Utilities for BIOS0032 AI4Environment colab notebooks
- biotuner — Time series harmonic analysis for adaptive tuning systems and microtonal exploration
- bioturbation — Model of earthworm bioturbation in a layered soil profile
- bix-analysis-libraries — An assortment of analysis libraries.
- bixai — Package that makes it a bit easier to understand some complex models and helps you visualize them
- blackbeard2109 — This library is designed for people who need to optimize time in an agile way with an ease of understanding and could
- blackboxopt — A common interface for blackbox optimization algorithms along with useful helpers like parallel optimization loops, analysis and visualization scripts.
- bldg-point-clustering — A Python 3.5+ wrapper for clustering building point labels using KMeans, DBScan, and Agglomerative clustering
- blitzly — Lightning-fast way to get plots with Plotly
- blotly — 基于cufflinks的绘图工具
- bls-data — A Python library to parse and visualize Bureau of Labor Statistics Data
- blue-prints — Blueprints: Python AEC library.
- bluecast — A lightweight and fast automl framework
- bmigraph — A BMI calculator and more!
- bmmltools — BioMaterial Machine Learning tools (bmmltools), package to do machine learning with large binary 3d images
- boa-framework — Bayesian Optimization for Anything: A high-level Bayesian optimization framework and model wrapping tool. It provides an easy-to-use interface between models and the python libraries Ax and BoTorch.
- boardx — Dive into Board.
- bocoel — Bayesian Optimization as a Coverage Tool for Evaluating Large Language Models
- BODSDataExtractor — This project was created to lower the barrier to entry for analysis of UK Bus Open Data. It facilitates the fetching and extraction of clean data, currently focussed on Timetables, into tables to be used for analysis or your own projects.
- body-organ-analysis — BOA is a tool for segmentation of CT scans developed by the SHIP-AI group at the Institute for Artificial Intelligence in Medicine (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical images and identifying the different structures within the human body, including bones, muscles, organs, and blood vessels.
- bofire — no summary
- bolides — A package to analyze bolide data
- bonsai-tree — Bayesian Optimization + Gradient Boosted Trees
- booli-crawler — A crawler of booli.se - a Swedish housing platform.
- bootstrap.pytorch — High level framework for starting Deep Learning projects
- bornly — Seaborn-like API for some plotly plots
- boundedcontours — Bounded smoothing of 2d arrays/histograms and contour plotting
- bp-monitor — Allows use to input bloood pressure vaules and creates reports including visualisations indicating BP treds over time
- BraineryWiz — OpenSees Plotting Package
- brainstat — A toolbox for statistical analysis of neuroimaging data
- braintracer — A complete processing pipeline for anatomical neuronal tracing.
- bsc-utils — Utils for BSC Quants
- bsxplorer — Analytical framework for BS-seq data comparison and visualization
- btgPy — Data science tools
- btmodified — Modified version of Bertopics
- bundestag — Download, parse and analyse votes in the german federal parliament, aka 'Bundestag'
- bunka-superfunctions — some functions often used to do diverse Data Science Projects
- bunkatopics — Bunkatopics is a Topic Modeling package and Exploration Module
- burdoc — Advanced PDF parsing for python
- buy-and-hold-vs-arima — buy and hold vs arima strategy
- bvpTune — Library for fine tuning the numerical settings of boundary value problem solvers
- cadCAD-tools — tools
- CalculusPy — Tool for teaching calculus in one variable.
- calliope — A multi-scale energy systems modelling framework.
- canalyst-candas — The official Canalyst Software Development Kit (SDK) for our public API
- canarypy — CanaryPy - A light and powerful canary release for Data Pipelines
- candleplot-trade — online trading based on indicators and candles
- capblood-seq — no summary
- capblood-seq-viz — Interactive visualization web app for capillary blood data
- capcruncher — An end-to-end solution for processing Capture-C, Tri-C and Tiled-C data
- capon — Capital Market in Python
- captn-nanobit-client — Project for captn-nanobit client
- carabiner — economic estimation
- carbonify — Open source library for carbon accounting and Lifecycle analysis
- card-live-dashboard — A dashboard to display antimicrobial resistance data from CARD:Live
- cards-deck — An example repository for nbdev
- carefree-learn — Deep Learning with PyTorch made easy
- caretta — Fast multiple protein structure alignment
- cars — A satellite multi view stereo pipeline
- cartoGRAPHs — A Network Layout and Visualization Package
- casual-inference — Do causal inference more casually
- catalyst-rl — Catalyst.RL. PyTorch framework for RL research.
- causal-inference — Causal Inference
- ccp-performance — Centrifugal Compressor Performance calculation.
- ccsd — CCSD (Combinatorial Complex Score-based Diffusion) is a sophisticated score-based diffusion model designed to generate Combinatorial Complexes using Stochastic Differential Equations. This cutting-edge approach enables the generation of complex objects with higher-order structures and relations, thereby enhancing our ability to learn underlying distributions and produce more realistic objects.
- cdtea — CDTea
- cebra — Consistent Embeddings of high-dimensional Recordings using Auxiliary variables
- cegal-welltools — Cegal AS-provided well log package
- celescope — Single Cell Analysis Pipelines
- Cell-BLAST — Single-cell transcriptome querying tool
- cellgeometry — Statistical Cell Shape Analysis
- CellLayers — Cell Layers
- cellmap — CellMap - RNA landscape inference method
- cellpack — algorithm to pack molecular recipes
- cellpy — Extract and manipulate data from battery data testers.
- cellshape — 3D shape analysis using deep learning
- cerebralcortex-kernel — Backend data analytics platform for MD2K software
- cerebroflow — Cerebroflow, a package to generate csf flow profiles from csf flow experiments
- cesm — Compact Energy System Modeling Tool (CESM)
- cfft — Fast and friendly system identification for structures.
- cgwu-test-upload-1 — Python SDK for the Aqueduct prediction infrastructure.
- CHAID — A CHAID tree building algorithm
- Chaparral — Recomienda rutas
- chart-studio — Utilities for interfacing with plotly's Chart Studio
- chartgenerator — Candlestick chart generator and support/resistance calculator for market data using Plot.ly and peakutils.
- chartgpt — ChartGPT is a library for generating charts from text
- chartpy — chartpy creates a simple easy to use API to plot in a number of great Python chart libraries