Best AI tools for< Track Data >
20 - AI tool Sites
Overwatch Data
Overwatch Data is a comprehensive open-source intelligence platform that provides real-time understanding and actionable insights tailored for cyber, fraud, security, supply chain, and market intelligence needs. The platform offers customizable monitoring solutions, intuitive data visualizations, executive summaries, and free-form chat capabilities. Users can define topics, narratives, events, and categories of interest, receive tailored alerts, and track and chat with data on the Overwatch platform. The platform aims to save time, cut through noise, and deliver important information directly to the user's team.
Sheety
Sheety is a spreadsheet-like database that lets you build powerful apps without writing any code. It's perfect for teams who need to track data, manage projects, and collaborate on documents.
Bemi
Bemi is an Automatic Audit Trail tool designed for PostgreSQL databases. It allows users to trace and record data changes with 100% reliability and accuracy. Bemi offers seamless setup, contextualized data tracking, and military-grade encryption for data security. Users can integrate Bemi with their ORM and leverage trusted integrations with hosting partners. The tool is trusted by top tech companies for audit & compliance, data recovery, observability & troubleshooting, and building activity feed.
WebDB
WebDB is a free and efficient database IDE with a focus on security and productivity. It allows users to manage databases securely, guess credentials, set up SSH tunnels, track database modifications, execute powerful queries, utilize AI assistants, manage NoSQL structures, and generate intelligent data. With features like version history, AI integration, and ERD visualization, WebDB offers a comprehensive solution for database management.
Privado AI
Privado AI is a privacy engineering tool that bridges the gap between privacy compliance and software development. It automates personal data visibility and privacy governance, helping organizations to identify privacy risks, track data flows, and ensure compliance with regulations such as CPRA, MHMDA, FTC, and GDPR. The tool provides real-time visibility into how personal data is collected, used, shared, and stored by scanning the code of websites, user-facing applications, and backend systems. Privado offers features like Privacy Code Scanning, programmatic privacy governance, automated GDPR RoPA reports, risk identification without assessments, and developer-friendly privacy guidance.
Process Street
Process Street is an AI-powered platform that helps businesses streamline their processes and improve operational efficiency. It offers features such as workflows automation, data unification, document sharing, and AI transformation. With Process Street, users can create, track, and complete tasks efficiently, make data-driven decisions, and automate repetitive tasks using generative AI. The platform also provides analytics to track key performance indicators and ensure consistent adherence to procedures. Process Street is trusted by top companies to revolutionize workflow management and drive productivity and growth.
Ortto
Ortto is a customer relationship management (CRM) and marketing automation platform that helps businesses manage their customer data, create automated marketing campaigns, and track their results. Ortto's AI-powered features include an AI subject line writer, AI-powered live chat, and an AI-powered omnichannel inbox. Ortto integrates with a variety of other business applications, including Salesforce, Shopify, and Stripe.
Coinfeeds
Coinfeeds is an AI-powered platform that provides personalized cryptocurrency insights, news, and market data to users. It offers features such as custom portfolio monitoring, AI chatbot, API access, and a database of fundraising events and emerging startups in the crypto industry. Coinfeeds aims to empower investors with the necessary information to make informed decisions in the dynamic landscape of cryptocurrency ventures.
Coinfeeds
Coinfeeds is an AI-powered platform that provides personalized cryptocurrency insights, market data, and news to users. It offers features such as custom portfolio monitoring, AI chatbot, and API integration for real-time updates. The platform caters to cryptocurrency investors, venture capitalists, and enthusiasts by delivering actionable information to make informed decisions in the dynamic crypto landscape.
Sequel
Sequel is an AI-powered longevity assistant that provides personalized health insights by integrating various health data sources. It offers therapy suggestions, supplement advice, and more based on individual health profiles. Sequel prioritizes data privacy by processing data locally on the user's device or utilizing OpenAI models without compromising privacy.
LiveSnap
LiveSnap is an AI-powered strategic intelligence platform that enables users to find, analyze, and monitor relevant information from billions of sources. It centralizes essential information, automates data collection, provides real-time monitoring of conversations, and offers intelligent summaries for quick insights. The platform also facilitates automated report generation, historical data tracking, and categorization of information for efficient decision-making. LiveSnap leverages artificial intelligence to save time on repetitive tasks, ensuring users focus on critical activities. By using LiveSnap, organizations benefit from filtered and structured information, centralized data access, and automated preliminary analysis, leading to informed decision-making and time savings.
Modality.AI
Modality.AI is an AI application that has developed an automated, clinically validated system to assess neurological and psychiatric states both in clinic and remotely. The platform utilizes conversational AI to monitor conditions accurately and consistently, allowing researchers and clinicians to review data in near real-time and monitor treatment response over time. Modality.AI collaborates with world-class AI/Machine Learning experts and leading institutions to provide a HIPAA-compliant system for assessing various indications such as ALS, Parkinson's, depression, autism, Huntington's Disease, schizophrenia, and mild cognitive impairment. The platform enables convenient monitoring at home through streaming and analysis of speech and facial responses, without the need for special software or apps. Modality.AI is accessible on various devices with a browser, webcam, and microphone, offering a new approach to efficient and cost-effective clinical trials.
Subbly
Subbly is a subscription-first commerce platform that provides businesses with everything they need to launch and manage a successful subscription business. With Subbly, businesses can build a website, create and manage subscriptions, process payments, and track customer data. Subbly also offers a range of features to help businesses grow their subscription revenue, including AI-powered churn prediction, customizable checkout and upsell funnels, and powerful marketing tools.
Quill
Quill is an AI-powered SEC filing platform that leverages financially-tuned AI to extract key information from company filings. It provides historical financial data, real-time SEC filings, earnings call transcripts, and more. Quill offers state-of-the-art sentence-level source citations, preventing misinformation. Users can ask questions about companies, extract numerical data, and receive alerts on filings. The platform automates earnings call analysis and can transform PDFs into spreadsheets. Quill is designed for analysts and professionals seeking accurate and up-to-date financial information.
Roic AI
Roic AI is an AI tool designed to provide users with essential financial data for analyzing companies. It offers comprehensive company summaries, 30+ years of financial statements, and earnings call transcripts in a single location. Users can access crucial information about popular companies like Apple Inc. and Microsoft Corporation through this platform.
August
August is a free-to-use health AI available on WhatsApp. It provides direct answers to health questions, helps with mental health issues, creates personalized nutrition and fitness plans, and offers proactive support. August is designed to be a comprehensive health companion, available 24/7.
Builder.ai
Builder.ai is an award-winning app development platform that empowers businesses of all sizes to create custom mobile and web applications without the need for coding knowledge. With Builder.ai, you can build a wide range of apps, including e-commerce stores, appointment booking systems, customer relationship management (CRM) tools, and more. Builder.ai's platform is easy to use and affordable, making it a great option for businesses that want to quickly and easily launch their own apps.
Appsmakerstore
Appsmakerstore is a leader in innovative, AI-driven mobile app development services targeted at the general public. With its 100% No-Code SaaS service, Appsmakerstore assists businesses and organizations, supporting entrepreneurship and economic growth, promoting industrial innovation, and contributing to reducing inequality in line with the UN's Sustainable Development Goals. This is achieved by offering modern technology to a wide range of users worldwide, regardless of their technical background.
TruePrep
TruePrep is an AI software designed for tax accounting firms and CPAs to streamline tax planning, projections, and research processes. The AI Assistant within TruePrep helps accountants and financial advisors to quickly identify clients affected by tax changes, create tax projections, and answer complex tax questions in real time. By leveraging AI technology, TruePrep aims to save time, increase accuracy, and improve revenue generation for tax professionals.
Ulai
Ulai is a Gen-AI conversational commerce platform that helps businesses connect with their customers, acquire, retain, and engage them where they are most comfortable. It offers a range of features to help businesses increase revenue, including personalized recommendations, automated post-purchase processes, and seamless integration with third-party applications and CRMs.
20 - Open Source AI Tools
dvc
DVC, or Data Version Control, is a command-line tool and VS Code extension that helps you develop reproducible machine learning projects. With DVC, you can version your data and models, iterate fast with lightweight pipelines, track experiments in your local Git repo, compare any data, code, parameters, model, or performance plots, and share experiments and automatically reproduce anyone's experiment.
aiida-core
AiiDA (www.aiida.net) is a workflow manager for computational science with a strong focus on provenance, performance and extensibility. **Features** * **Workflows:** Write complex, auto-documenting workflows in python, linked to arbitrary executables on local and remote computers. The event-based workflow engine supports tens of thousands of processes per hour with full checkpointing. * **Data provenance:** Automatically track inputs, outputs & metadata of all calculations in a provenance graph for full reproducibility. Perform fast queries on graphs containing millions of nodes. * **HPC interface:** Move your calculations to a different computer by changing one line of code. AiiDA is compatible with schedulers like SLURM, PBS Pro, torque, SGE or LSF out of the box. * **Plugin interface:** Extend AiiDA with plugins for new simulation codes (input generation & parsing), data types, schedulers, transport modes and more. * **Open Science:** Export subsets of your provenance graph and share them with peers or make them available online for everyone on the Materials Cloud. * **Open source:** AiiDA is released under the MIT open source license
PIXIU
PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.
llm-gateway
llm-gateway is a gateway tool designed for interacting with third-party LLM providers such as OpenAI, Cohere, etc. It tracks data exchanged with these providers in a postgres database, applies PII scrubbing heuristics, and ensures safe communication with OpenAI's services. The tool supports various models from different providers and offers API and Python usage examples. Developers can set up the tool using Poetry, Pyenv, npm, and yarn for dependency management. The project also includes Docker setup for backend and frontend development.
ai-audio-datasets
AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.
ai-dev-2024-ml-workshop
The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.
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.
LightRAG
LightRAG is a PyTorch library designed for building and optimizing Retriever-Agent-Generator (RAG) pipelines. It follows principles of simplicity, quality, and optimization, offering developers maximum customizability with minimal abstraction. The library includes components for model interaction, output parsing, and structured data generation. LightRAG facilitates tasks like providing explanations and examples for concepts through a question-answering pipeline.
awesome-llm-planning-reasoning
The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.
AirCasting
AirCasting is a platform for gathering, visualizing, and sharing environmental data. It aims to provide a central hub for environmental data, making it easier for people to access and use this information to make informed decisions about their environment.
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.
MISSING-PERSONS-DATABASE-2024-KENYA-FINANCE-BILL-PROTESTS-
The Missing Persons 2024 Antifinance Bill Demonstrations Kenya database is an AI-powered platform designed to track and identify individuals who have gone missing during the ongoing protests. It aims to assist in reuniting families by providing a centralized online resource for all Kenyans. The platform allows for crowdsourced information upload, monitoring disappearances, and tracking unidentified bodies to create a comprehensive database. Key features include a user-friendly interface, AI-powered search, real-time updates, secure handling of data, and detailed reporting.
litlyx
Litlyx is a single-line code analytics solution that integrates with every JavaScript/TypeScript framework. It allows you to track 10+ KPIs and custom events for your website or web app. The tool comes with an AI Data Analyst Assistant that can analyze your data, compare data, query metadata, visualize charts, and more. Litlyx is open-source, allowing users to self-host it and create their own version of the dashboard. The tool is user-friendly and supports various JavaScript/TypeScript frameworks, making it versatile for different projects.
client
DagsHub is a platform for machine learning and data science teams to build, manage, and collaborate on their projects. With DagsHub you can: 1. Version code, data, and models in one place. Use the free provided DagsHub storage or connect it to your cloud storage 2. Track Experiments using Git, DVC or MLflow, to provide a fully reproducible environment 3. Visualize pipelines, data, and notebooks in and interactive, diff-able, and dynamic way 4. Label your data directly on the platform using Label Studio 5. Share your work with your team members 6. Stream and upload your data in an intuitive and easy way, while preserving versioning and structure. DagsHub is built firmly around open, standard formats for your project. In particular: * Git * DVC * MLflow * Label Studio * Standard data formats like YAML, JSON, CSV Therefore, you can work with DagsHub regardless of your chosen programming language or frameworks.
LangGraph-Expense-Tracker
LangGraph Expense tracker is a small project that explores the possibilities of LangGraph. It allows users to send pictures of invoices, which are then structured and categorized into expenses and stored in a database. The project includes functionalities for invoice extraction, database setup, and API configuration. It consists of various modules for categorizing expenses, creating database tables, and running the API. The database schema includes tables for categories, payment methods, and expenses, each with specific columns to track transaction details. The API documentation is available for reference, and the project utilizes LangChain for processing expense data.
Conference-Acceptance-Rate
The 'Conference-Acceptance-Rate' repository provides acceptance rates for top-tier AI-related conferences in the fields of Natural Language Processing, Computational Linguistics, Computer Vision, Pattern Recognition, Machine Learning, Learning Theory, Artificial Intelligence, Data Mining, Information Retrieval, Speech Processing, and Signal Processing. The data includes acceptance rates for long papers and short papers over several years for each conference, allowing researchers to track trends and make informed decisions about where to submit their work.
LLMstudio
LLMstudio by TensorOps is a platform that offers prompt engineering tools for accessing models from providers like OpenAI, VertexAI, and Bedrock. It provides features such as Python Client Gateway, Prompt Editing UI, History Management, and Context Limit Adaptability. Users can track past runs, log costs and latency, and export history to CSV. The tool also supports automatic switching to larger-context models when needed. Coming soon features include side-by-side comparison of LLMs, automated testing, API key administration, project organization, and resilience against rate limits. LLMstudio aims to streamline prompt engineering, provide execution history tracking, and enable effortless data export, offering an evolving environment for teams to experiment with advanced language models.
data-juicer
Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.
cognita
Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.
data-to-paper
Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.
20 - OpenAI Gpts
AI OSINT
Your AI OSINT assistant. Our tool helps you find the data needle in the internet haystack.
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 :)
AquaAirAI
AquaAirAI is a specialized assistant that compares air and water quality across cities and regions, providing insightful reports and recommendations based on comprehensive environmental data analysis from Excel files.
UNICORN Binance Suite Assistant
Elegant assistance and expertise for integrating the Unicorn Binance Suite.
GaiaAI
The pressing environmental issues we face today require novel approaches and technological advancements to effectively mitigate their impacts. GaiaAI offers a range of tools and modes to promote sustainable practices and enhance environmental stewardship.
Burning Earth
I'm Burning Earth, alarming users about environmental harm and climate change. Powered by Breebs (www.breebs.com)
Apple Activity Kit Complete Code Expert
A detailed expert trained on all 1,337 pages of Apple ActivityKit, offering complete coding solutions. Saving time? https://www.buymeacoffee.com/parkerrex ☕️❤️
Apple HealthKit Complete Code Expert
A detailed expert trained on all 8,827 pages of Apple HealthKit, offering complete coding solutions. Saving time? https://www.buymeacoffee.com/parkerrex ☕️❤️
Fitness Data Analyst
I analyze your workout data, focusing on brevity and clear visualizations
Ethereum Blockchain Data (Etherscan)
Real-time Ethereum Blockchain Data & Insights (with Etherscan.io)