Best AI tools for< Trace Lineage >
20 - AI tool Sites
AI Genealogy Insights
AI Genealogy Insights is a website dedicated to exploring the advantages and limitations of Artificial Intelligence-assisted genealogy. The site provides valuable insights on how artificial intelligence can assist genealogists and family history researchers by leveraging AI technology in genealogical research and discovery. It covers topics such as the current state of AI-assisted genealogy, applications of AI in genealogy, productivity enhancement using AI, upcoming AI genealogy developments, and useful AI tools and services for genealogists.
Union.ai
Union.ai is an infrastructure platform designed for AI, ML, and data workloads. It offers a scalable MLOps platform that optimizes resources, reduces costs, and fosters collaboration among team members. Union.ai provides features such as declarative infrastructure, data lineage tracking, accelerated datasets, and more to streamline AI orchestration on Kubernetes. It aims to simplify the management of AI, ML, and data workflows in production environments by addressing complexities and offering cost-effective strategies.
Vectorizer.AI
Vectorizer.AI is an online tool that allows users to convert PNG and JPG images to SVG vectors quickly and easily using artificial intelligence. The tool analyzes, processes, and converts images from pixels to geometric shapes fully automatically. It offers a full-featured deep vector engine, proprietary computational geometry framework, and various shape fitting options to produce high-quality vector images. Vectorizer.AI supports multiple output formats, including SVG, PDF, EPS, DXF, and PNG, and provides features like symmetry modeling, adaptive simplification, palette control, and sub-pixel precision.
Retraced
Retraced is a compliance platform designed for fashion and textile supply chains. It offers a comprehensive 360° solution to empower CSR teams in streamlining sustainability strategies, collaborating with suppliers in real-time, and meeting compliance requirements effectively. The platform enables digital connection with suppliers for efficient communication, traceability of products and materials, and fostering transparency for both internal and external stakeholders. Retraced aims to make the fashion industry more transparent and sustainable by providing innovative solutions for market leaders in the industry.
EchoMark
EchoMark is a cloud-based data leak prevention solution that uses invisible forensic watermarks to protect sensitive information from unauthorized access and exfiltration. It allows organizations to securely share and collaborate on documents and emails without compromising privacy and security. EchoMark's advanced investigation tools can trace the source of a leaked document or email, even if it has been shared via printout or photo.
Langtrace AI
Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.
Lunary
Lunary is an AI developer platform designed to bring AI applications to production. It offers a comprehensive set of tools to manage, improve, and protect LLM apps. With features like Logs, Metrics, Prompts, Evaluations, and Threads, Lunary empowers users to monitor and optimize their AI agents effectively. The platform supports tasks such as tracing errors, labeling data for fine-tuning, optimizing costs, running benchmarks, and testing open-source models. Lunary also facilitates collaboration with non-technical teammates through features like A/B testing, versioning, and clean source-code management.
Plagiarism Checker
Plagiarism Checker is an online plagiarism detector that helps check text originality, verify authorship, trace AI-generated content, and improve writing. It scans for plagiarism to indicate similarities in any text and provides an unbiased similarity report. Plagiarism Checker offers solutions for organizations and individuals, including K-12 schools, higher education institutions, students, writers, and content creators. With advanced algorithms, unlimited text length, interactive results, downloadable reports, and strict confidentiality, Plagiarism Checker is a reliable tool for ensuring academic integrity and originality in writing.
PharmaTrace
PharmaTrace is an advanced healthcare ecosystem that leverages blockchain technology and artificial intelligence to revolutionize the pharmaceutical industry. It offers solutions for track and trace, chronic disease forecasting, and digital transformation in the pharmaceutical supply chain. The platform enables collaboration among various industry stakeholders to enhance business operations, improve patient care, and ensure supply chain integrity. PharmaTrace provides customizable templates, scalable solutions, and big data analytics for optimizing supply chain processes and ensuring regulatory compliance.
Vectorizer.io
Vectorizer.io is an online tool that converts raster images (such as PNGs, BMPs, and JPEGs) into scalable vector graphics (SVGs, EPSs, and DXFs). Vectorization is the process of converting pixel-based images into mathematical equations that define lines, curves, and shapes. This makes vector images resolution-independent, meaning they can be scaled to any size without losing quality. Vectorizer.io uses advanced algorithms to accurately trace the outlines of objects in raster images, producing high-quality vector outputs that are suitable for a variety of purposes, such as logo design, web graphics, and print production.
Pentest Copilot
Pentest Copilot by BugBase is an ultimate ethical hacking assistant that guides users through each step of the hacking journey, from analyzing web apps to root shells. It eliminates redundant research, automates payload and command generation, and provides intelligent contextual analysis to save time. The application excels at data extraction, privilege escalation, lateral movement, and leaving no trace behind. With features like secure VPN integration, total control over sessions, parallel command processing, and flexibility to choose between local or cloud execution, Pentest Copilot offers a seamless and efficient hacking experience without the need for Kali Linux installation.
Trade Ideas
Trade Ideas is an AI-driven stock scanning and charting platform designed to meet the needs of active traders. It provides powerful tools such as real-time market scanning, AI-driven trade signals, customizable alerts, advanced charting capabilities, and time-saving data visualization. Trade Ideas offers users the confidence to make smarter trading decisions and the freedom to conquer markets anytime, anywhere. The platform also includes features like a trading simulator for practicing new strategies, Picture in Picture charts for visualizing multiple timeframes, and integration with leading brokers and trading platforms.
Trade Ideas
Trade Ideas is an AI-driven stock scanning and charting platform that provides unmatched precision in finding the biggest movers first. It offers AI-powered Buy/Sell signals, real-time market scanning, customizable alerts, advanced charting capabilities, and time-saving data visualization. Users can access the platform on any device, empowering them to make smarter trading decisions and stay ahead of the game. Trade Ideas also features a live trading room with expert market commentary and a simulator for practicing new trading strategies under actual market conditions. The platform is trusted by leading brokers and trading platforms, offering users a competitive edge in the market.
Trade Foresight
Trade Foresight is a data and AI-driven platform that helps businesses expand and grow their operations globally. It provides users with access to a global trade database, market intelligence, and AI-powered tools to identify opportunities, connect with partners, and facilitate trade transactions. With Trade Foresight, businesses can gain insights into global trade trends, regulations, and opportunities, and make informed decisions to optimize their international expansion strategies.
Potato.trade
Potato.trade was a service that has been closed down as the company has transitioned into an AI Finance solutions company called Telescope. The website now offers AI-powered financial solutions under the new brand. For more information, visit telescope.co.
Composer
Composer is an AI-powered trading platform that allows users to build, backtest, and execute trading algorithms seamlessly. With no coding skills required, users can leverage AI-assisted strategy creation to optimize their trading activities. The platform offers automation features, pre-built strategies, and customization options to enhance trading efficiency and performance. Composer aims to democratize sophisticated quant investing by providing accessible and user-friendly tools for all levels of investors.
QnA3
QnA3 is an AI-driven Web3 knowledge engine that provides real-time insights and analysis on the cryptocurrency market. It uses natural language processing and machine learning to extract insights from a variety of sources, including news articles, social media, and market data. QnA3 can be used to track the performance of individual cryptocurrencies, identify trends, and make informed trading decisions.
Crayon
Crayon is a competitive intelligence software that helps businesses track competitors, win more deals, and stay ahead in the market. Powered by AI, Crayon enables users to analyze, enable, compete, and measure their competitive landscape efficiently. The platform offers features such as competitor monitoring, AI news summarization, importance scoring, content creation, sales enablement, performance metrics, and more. With Crayon, users can receive high-priority insights, distill articles about competitors, create battlecards, find intel to win deals, and track performance metrics. The application aims to make competitive intelligence seamless and impactful for sales teams.
Meals.Chat
Meals.Chat is an AI-powered food tracking app that helps you track your calories, macros, and caffeine consumption. Simply send a photo of your food or drink to the app, and it will automatically calculate the nutritional information. You can also manually enter your meals if you forget to take a picture. Meals.Chat can help you set and achieve your weight loss or weight gain goals. It can also help you track your caffeine intake to improve your sleep and reduce jitters.
Calorieasy
Calorieasy is an AI-powered calorie tracker that simplifies healthy eating. With its advanced AI technology, Calorieasy can instantly recognize and log food items, providing accurate calorie data and nutritional information. The app also offers personalized calorie goals, meal tracking, and progress monitoring to help users achieve their fitness goals.
20 - Open Source AI Tools
langroid
Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.
Awesome-Embedded
Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.
flyte
Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.
datahub
DataHub is an open-source data catalog designed for the modern data stack. It provides a platform for managing metadata, enabling users to discover, understand, and collaborate on data assets within their organization. DataHub offers features such as data lineage tracking, data quality monitoring, and integration with various data sources. It is built with contributions from Acryl Data and LinkedIn, aiming to streamline data management processes and enhance data discoverability across different teams and departments.
pixeltable
Pixeltable is a Python library designed for ML Engineers and Data Scientists to focus on exploration, modeling, and app development without the need to handle data plumbing. It provides a declarative interface for working with text, images, embeddings, and video, enabling users to store, transform, index, and iterate on data within a single table interface. Pixeltable is persistent, acting as a database unlike in-memory Python libraries such as Pandas. It offers features like data storage and versioning, combined data and model lineage, indexing, orchestration of multimodal workloads, incremental updates, and automatic production-ready code generation. The tool emphasizes transparency, reproducibility, cost-saving through incremental data changes, and seamless integration with existing Python code and libraries.
zenml
ZenML is an extensible, open-source MLOps framework for creating portable, production-ready machine learning pipelines. By decoupling infrastructure from code, ZenML enables developers across your organization to collaborate more effectively as they develop to production.
sematic
Sematic is an open-source ML development platform that allows ML Engineers and Data Scientists to write complex end-to-end pipelines with Python. It can be executed locally, on a cloud VM, or on a Kubernetes cluster. Sematic enables chaining data processing jobs with model training into reproducible pipelines that can be monitored and visualized in a web dashboard. It offers features like easy onboarding, local-to-cloud parity, end-to-end traceability, access to heterogeneous compute resources, and reproducibility.
artkit
ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.
awesome-mlops
Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.
Trace
Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback. It generalizes the back-propagation algorithm by capturing and propagating an AI system's execution trace. Implemented as a PyTorch-like Python library, users can write Python code directly and use Trace primitives to optimize certain parts, similar to training neural networks.
TRACE
TRACE is a temporal grounding video model that utilizes causal event modeling to capture videos' inherent structure. It presents a task-interleaved video LLM model tailored for sequential encoding/decoding of timestamps, salient scores, and textual captions. The project includes various model checkpoints for different stages and fine-tuning on specific datasets. It provides evaluation codes for different tasks like VTG, MVBench, and VideoMME. The repository also offers annotation files and links to raw videos preparation projects. Users can train the model on different tasks and evaluate the performance based on metrics like CIDER, METEOR, SODA_c, F1, mAP, Hit@1, etc. TRACE has been enhanced with trace-retrieval and trace-uni models, showing improved performance on dense video captioning and general video understanding tasks.
BurstGPT
This repository provides a real-world trace dataset of LLM serving workloads for research and academic purposes. The dataset includes two files, BurstGPT.csv with trace data for 2 months including some failures, and BurstGPT_without_fails.csv without any failures. Users can scale the RPS in the trace, model patterns, and leverage the trace for various evaluations. Future plans include updating the time range of the trace, adding request end times, updating conversation logs, and open-sourcing a benchmark suite for LLM inference. The dataset covers 61 consecutive days, contains 1.4 million lines, and is approximately 50MB in size.
agentneo
AgentNeo is a Python package that provides functionalities for project, trace, dataset, experiment management. It allows users to authenticate, create projects, trace agents and LangGraph graphs, manage datasets, and run experiments with metrics. The tool aims to streamline AI project management and analysis by offering a comprehensive set of features.
vidur
Vidur is a high-fidelity and extensible LLM inference simulator designed for capacity planning, deployment configuration optimization, testing new research ideas, and studying system performance of models under different workloads and configurations. It supports various models and devices, offers chrome trace exports, and can be set up using mamba, venv, or conda. Users can run the simulator with various parameters and monitor metrics using wandb. Contributions are welcome, subject to a Contributor License Agreement and adherence to the Microsoft Open Source Code of Conduct.
lmnr
Laminar is an all-in-one open-source platform designed for engineering AI products. It allows users to trace, evaluate, label, and analyze LLM data efficiently. The platform offers features such as automatic tracing of common AI frameworks and SDKs, local and online evaluations, simple UI for data labeling, dataset management, and scalability with gRPC communication. Laminar is built with a modern open-source stack including RabbitMQ, Postgres, Clickhouse, and Qdrant for semantic similarity search. It provides fast and beautiful dashboards for traces, evaluations, and labels, making it a comprehensive tool for AI product development.
phoenix
Phoenix is a tool that provides MLOps and LLMOps insights at lightning speed with zero-config observability. It offers a notebook-first experience for monitoring models and LLM Applications by providing LLM Traces, LLM Evals, Embedding Analysis, RAG Analysis, and Structured Data Analysis. Users can trace through the execution of LLM Applications, evaluate generative models, explore embedding point-clouds, visualize generative application's search and retrieval process, and statistically analyze structured data. Phoenix is designed to help users troubleshoot problems related to retrieval, tool execution, relevance, toxicity, drift, and performance degradation.
documentation
Vespa documentation is served using GitHub Project pages with Jekyll. To edit documentation, check out and work off the master branch in this repository. Documentation is written in HTML or Markdown. Use a single Jekyll template _layouts/default.html to add header, footer and layout. Install bundler, then $ bundle install $ bundle exec jekyll serve --incremental --drafts --trace to set up a local server at localhost:4000 to see the pages as they will look when served. If you get strange errors on bundle install try $ export PATH=“/usr/local/opt/[email protected]/bin:$PATH” $ export LDFLAGS=“-L/usr/local/opt/[email protected]/lib” $ export CPPFLAGS=“-I/usr/local/opt/[email protected]/include” $ export PKG_CONFIG_PATH=“/usr/local/opt/[email protected]/lib/pkgconfig” The output will highlight rendering/other problems when starting serving. Alternatively, use the docker image `jekyll/jekyll` to run the local server on Mac $ docker run -ti --rm --name doc \ --publish 4000:4000 -e JEKYLL_UID=$UID -v $(pwd):/srv/jekyll \ jekyll/jekyll jekyll serve or RHEL 8 $ podman run -it --rm --name doc -p 4000:4000 -e JEKYLL_ROOTLESS=true \ -v "$PWD":/srv/jekyll:Z docker.io/jekyll/jekyll jekyll serve The layout is written in denali.design, see _layouts/default.html for usage. Please do not add custom style sheets, as it is harder to maintain.
20 - OpenAI Gpts
Hiking Guru
Hi, I'm your go-to guide for everything hiking. From beginner tips to advanced techniques, gear advice, and Leave No Trace principles, I'm here to help elevate your hiking experience. Ask me a question!
Politician Trade Tracker
AI assistant for analyzing Congress members' trades for investment insights.
Global Trade Insights
Analyzing export industries with detailed, historical, and global insights.
Time Tracker Visualizer (See Stats from Toggl)
I turn Toggl data into insightful visuals. Get your data from Settings (in Toggl Track) -> Data Export -> Export Time Entries. Ask for bonus analyses and plots :)
ScreenScope
Your TV/Film Companion. Keep track of plot developments and character arcs in your favourite TV shows and films, spoiler-free.