Reverse Dependencies of streamlit
The following projects have a declared dependency on streamlit:
- img2cmap — Create colormaps from images
- imp3 — Interactive tool for image pre-processing and automated pipeline creation
- inception-reports — Generate plots that report the progress of an INCEpTION project.
- inference-visualisation — no summary
- innoframework — no summary
- input-field-component — Streamlit component that allows you to create sentence with input field
- input-field-component-v2 — Streamlit component that allows you to create sentence with input field
- insyde — GUI wrapper for static code analysis and visualization tools.
- investorzilla — Manage your investments like a data scientist
- ip2mokapot — no summary
- ipl-stats — no summary
- ipyvizzu-story — Build, present and share animated data stories in Jupyter Notebook and similar environments.
- jijbench — Experiment management and benchmark tools for mathematical optimization
- jinjat — A low-code data application framework that uses dbt Core and OpenAPI
- jl_scripts — no summary
- jrwhypy — Jumping Rivers: Why Python
- kadabra-client — Share your code, data and visuals, directly from Jupyter
- kaggle-st-connection — st.connection implementation for Kaggle Public API
- kailo-beewell-dashboard — Tools to support creation of #BeeWell survey dashboards for Kailo
- keras-metric-learning — Deep metric learning in tf2 keras
- kiara-plugin.streamlit — Streamlit UI and widgets for kiara
- KrakenPythonMarcosRodrigo — A streamlit tool for rendering kraken data
- kube-copilot — Kubernetes Copilot
- kubejobs — A Python library for creating and running Kubernetes Jobs
- lagent — A lightweight framework for building LLM-based agents
- lampa — no summary
- lanceviewer — no summary
- landingai-streamlit-drawable-canvas — A Streamlit custom component for a free drawing canvas using Fabric.js.
- langchain — Building applications with LLMs through composability
- langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
- langchain-by-johnsnowlabs — Building applications with LLMs through composability
- langchain-community — Community contributed LangChain integrations.
- langchain-xfyun — 在LangChain中流畅地使用讯飞星火大模型
- langchaincoexpert — Building applications with LLMs through composability
- langchainmsai — Building applications with LLMs through composability
- langchainn — Building applications with LLMs through composability
- lau-streamlit — no summary
- lecture-automator — no summary
- LiamHsieh-toolbox — Collections of Python utility, suppose to be built with Jonathan Carson but he left
- libcom — Image Composition Toolbox
- libra — Ergonomic machine learning
- lightning-hpo — Lightning HPO
- lightning-pose — Semi-supervised pose estimation using pytorch lightning
- lightning-training-studio — Lightning HPO
- linkml-store — linkml-store
- litbee — align (en, de, zh) texts via streamlit
- lite-bo — Efficient and generalized blackbox optimization (BBO) system
- liualgotrader — a Pythonic all-batteries-included framework for effective algorithmic trading. The framework is intended to simplify development, testing, deployment and evaluating algo trading strategies.
- llama-agi — Building AGI loops using LlamaIndex and Langchain
- llama-index-packs-streamlit-chatbot — llama-index packs streamlit_chatbot integration
- llamachat — no summary
- llm-app — LLM-App is a library for creating responsive AI applications leveraging OpenAI/Hugging Face APIs to provide responses to user queries based on live data sources. Build your own LLM application in 30 lines of code, no vector database required.
- llm-datasets — A collection of datasets for language model training including scripts for downloading, preprocesssing, and sampling.
- llm-explorer — A Lakehouse LLM Explorer. Wrapper for spark, databricks and langchain processes
- llm-inference — Large Language Models Inference API and Applications
- llm-math-education — Retrieval-backed LLMs for math education
- llm2openai — Create a Python package.
- llmanalyst — Talk to your CSV data with your huggingface llm models
- llmopenai — Create a Python package.
- llmuses — Eval-Scope: Lightweight LLMs Evaluation Framework
- lm-datasets — A collection of datasets for language model training including scripts for downloading, preprocesssing, and sampling.
- lpw — Using Local Packet Whisperer (LPW, Chat with PCAP/PCAPNG files locally, privately!
- lyscripts — Package containing scripts used in lynference pipelines
- madan — Open source ai library
- mango — Library with a collection of usefull classes and methods to DRY
- mapita-streamlit — A template Python module
- markdownlit — markdownlit adds a couple of lit Markdown capabilities to your Streamlit apps
- markit-gateway — IMU message broker
- markit-processing — Code for post processing data
- markit-tcpbroker — IMU message broker
- mars-gym — Framework Code for the RecSys 2020 entitled 'MARS-Gym: A Gym framework to model, train, and evaluate recommendationsystems for marketplaces'.
- mass-analytics — Streamline data preprocessing and enhance analysis with our Powerful Data Preparation Package.
- massdash — massdash
- match-video — A Python library that simplifies working with video from soccer matches.
- material-zui — Material Zui
- maupassant — no summary
- mcodegpt — mCodeGPT
- mcodegpthippa — mcodegpthippa
- memery — no summary
- memesis — Custodian and live editor of your LLM's memory
- metastreamlit — Helper library for creating ML demos in streamlit
- MeUtils — description
- mini-photoshop — Mini photoshop tool
- minitrade — A personal automated trading system
- mitosheet — The Mito Spreadsheet
- ml-idm — A tool that provides a direct interface to a model you want to interact with. Get predictions, build graphs, analyse models with external tools.
- mlbull — no summary
- mlem — Version and deploy your models following GitOps principles
- mlfoundry-ui — Dashboard code for mlfoundry
- mlllm — EDA with AI
- mmsegmentation — Open MMLab Semantic Segmentation Toolbox and Benchmark
- MNNCV — MNNCV python sdk
- modal-streamlit-vmateo — Es una libreria editada de ventana modal para streamlit para mi caso personal
- model-monitoring-package — A very basic monitoring package
- modelgraph — Tool for extracting dependency graphs from gotran ODE models
- monitoringdashboard — no summary
- moosir-feature — Add a short description here!
- mosaicml-streaming — Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
- mps-motion — Library for tracking motion in cardiac mps data
- ms-reader — Package for parsing a Tracefinder or Skyline file containing processed Mass Spectrometry data