Best AI tools for< Track Data Changes >
20 - AI tool Sites

Bemi
Bemi is an Automatic Audit Trail tool designed for Postgres databases. It allows users to track data changes reliably without the need for complex engineering or costly infrastructure. Bemi offers seamless setup, contextualized data tracking, and military-grade encryption for secure data storage. It integrates with existing PostgreSQL databases, enriches low-level data changes, and provides a robust audit trail for compliance and troubleshooting purposes. Trusted by top tech companies, Bemi helps businesses streamline audit processes and focus on innovation rather than manual data tracking.

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.

Satlas
Satlas is an AI-powered platform that provides geospatial data generated by AI models. The platform offers insights into changes in marine infrastructure, renewable energy infrastructure, and tree cover on a monthly basis. Users can explore maps showcasing developments such as wind farms, solar farms, deforestation, and more. Satlas employs advanced AI architectures and training algorithms in computer vision to enhance low-resolution satellite imagery and produce high-resolution images globally. The platform's geospatial datasets are freely available for offline analysis, along with AI models and training labels. Developed by the Allen Institute for AI, Satlas aims to advance computer vision technology for better understanding and monitoring of Earth's changes.

Browse AI
Browse AI is an AI-powered data extraction and monitoring platform that allows users to scrape and monitor data from any website without the need for coding. It offers a full suite of features for stress-free data extraction, including turning websites into APIs, monitoring for changes, and creating prebuilt robots for various use cases. With over 7,000 integrations, Browse AI ensures reliable and scalable data extraction with no coding required. The platform is trusted by over 558,000 users worldwide and is designed to simplify the process of turning any website into a reliable data pipeline.

Alston & Bird Privacy, Cyber & Data Strategy Blog
Alston & Bird Privacy, Cyber & Data Strategy Blog is an AI tool that provides insights and updates on key data privacy, cybersecurity issues, and regulations. The blog covers a wide range of topics such as COPPA Rule amendments, AI advisory in healthcare, DHS Playbook for AI deployment, cybersecurity sanctions, and data breach notification laws. It aims to keep readers informed about the latest developments in privacy, cyber, and data strategy.

Hexowatch
Hexowatch is an AI-powered website monitoring and archiving tool that helps businesses track changes to any website, including visual, content, source code, technology, availability, or price changes. It provides detailed change reports, archives snapshots of pages, and offers side-by-side comparisons and diff reports to highlight changes. Hexowatch also allows users to access monitored data fields as a downloadable CSV file, Google Sheet, RSS feed, or sync any update via Zapier to over 2000 different applications.

Deep Planet
Deep Planet is a precision viticulture platform powered by AI that focuses on enhancing sustainability in agriculture. It offers solutions for the wine industry, landowners, farmers, and supply chain companies by providing data-driven insights to maximize potential, optimize nutrient application, and support the transition to achieve net zero targets. The platform leverages AI and satellite imagery to empower users with actionable intelligence for better decision-making in vineyard management and soil health.

Boomerang
Boomerang is an AI-powered sales pipeline tool that helps businesses turn happy customers into revenue opportunities by tracking job changes, automating follow-ups, and generating warm intros. It offers features such as contact tracking, account tracking, warm intros, auto org charts, and CRM data quality. Boomerang outperforms competitors in pipeline conversion and job change tracking speed. The tool is designed to boost revenue growth, increase repeat buyers, and enhance customer engagement through personalized interactions.

Frame AI
Frame AI is a premier Streaming AI Platform powered by STAG, designed to provide proactive insights and tools for every team by continuously querying customer data to detect traits, track trends, and trigger workflows. The platform turns unstructured data into actionable insights, helping teams stay ahead of risks and opportunities. Frame AI's architecture autonomously queries customer data based on user objectives, activating inside existing business tools to provide real-time customer data. With features like enrichments, triggers, alerts, and insights, Frame AI enables better decisions faster by combining predictive signals in customer text into task-specific scores. The platform is suitable for marketing, CX, support, and product teams, offering real-time usability feedback, demographic and psychographic trait detection, and secure data handling. Frame AI is SOC 2 Type II certified and HIPAA compliant, with a team of AI experts leading the development of AI solutions for various organizations.

Kupiks
Kupiks is an AI-powered platform that automates the monitoring of competitor websites, detecting significant changes and delivering actionable insights. By analyzing content updates, pricing adjustments, and new feature rollouts, Kupiks enables businesses to respond swiftly to market dynamics, ensuring they remain competitive and proactive in their strategies.

Loops
Loops is an AI tool that empowers data analysts and product managers to make informed decisions based on deep, accurate causal insights. It leverages proprietary causal inference models to identify opportunities for maximizing key performance indicators (KPIs) without the need for traditional A/B testing. By analyzing user behaviors and business metrics, Loops helps companies prioritize efforts efficiently and proactively review impactful opportunities. The tool simplifies the process of understanding causality, providing actionable insights for product teams to drive growth and increase KPIs.

Lushair
Lushair is an AI-powered platform that offers personalized hair and scalp analysis solutions. It aims to create a digital and intelligent ecosystem for dermatology, providing accurate skin and scalp solutions that are accessible and affordable. Lushair offers services such as personal subscriptions, skin & scalp analysis SAAS, and skin & scalp analysis API for hair care specialists and brands. The platform features historical tracking, multi-node analysis, improved management, AI-generated hair care plans, and an easy-to-use interface. Lushair has received positive feedback for its standardization, customization, and intelligent services in the field of dermatology.

Policy-Insider.AI
Policy-Insider.AI is an AI-powered web application that revolutionizes public policy monitoring and analysis. It offers real-time, multilingual, and multinational insights by leveraging advanced AI technology. Users can access comprehensive policy documents and analysis in multiple languages, receive instant alerts on policy changes, and gain a global perspective with data from numerous countries and international institutions. The application provides tailored solutions for policy development, advocacy progress measurement, and stakeholder engagement, enhancing public affairs strategies and decision-making processes.

Weekly Github Insights
Weekly Github Insights is an AI-powered platform that provides users with a comprehensive summary of their latest GitHub activities from the past 7 days. It aims to keep users informed and motivated by compiling their weekly GitHub journey. The platform is built by @rohan_2502 using @aceternitylabs, @github APIs, and @OpenAI.

InstantAPI.ai
InstantAPI.ai is a powerful web scraping API and Chrome extension that allows users to extract data from any website with ease. The tool leverages AI technology to automate data extraction, adapt to site changes, and deliver customized JSON objects. With features like worldwide geotargeting, proxy management, JavaScript rendering, and CAPTCHA bypass, InstantAPI.ai ensures fast and reliable results. Users can describe the data they need and receive it in real-time, tailored to their exact requirements. The tool offers unlimited concurrency, human support, and a user-friendly interface, making web scraping simple and efficient.

CanIRank
CanIRank is an AI-powered SEO software designed for small businesses and startups to improve their Google rankings. It provides specific action recommendations based on AI analysis, offers DIY instructions or the option to delegate tasks to SEO consultants. The software helps users understand why pages rank where they do, identifies changes for impactful results, and notifies users of new content ideas and ranking changes. CanIRank automates keyword research, provides insights on competitor targeting, and calculates a Keyword ROI Score. It offers SERP analysis, rank tracking, and competitive analysis tools to help users make data-driven decisions and optimize their SEO strategies.

New Relic
New Relic is an AI monitoring platform that offers an all-in-one observability solution for monitoring, debugging, and improving the entire technology stack. With over 30 capabilities and 750+ integrations, New Relic provides the power of AI to help users gain insights and optimize performance across various aspects of their infrastructure, applications, and digital experiences.

Kanlet
Kanlet is an AI-powered tool designed to simplify pipeline generation for sales and marketing teams. It helps users identify warm leads by tracking key contacts, such as buyers, champions, and end-users, as they change jobs. The tool aims to provide users with an unfair advantage in prospecting by surfacing relationship triggers and automating outreach through personalization using Generative AI. Kanlet also offers a relationship-driven pipeline generation strategy, prioritizing high-intent accounts and boosting outbound conversions with former customers. Additionally, it assists in keeping CRM data accurate and clean by flagging departed contacts and updating missing buyer personas.

Persana AI
Persana AI is an AI-powered prospecting tool that helps users find, enrich, and personalize outbound leads using over 75 data sources and AI signals. It enables users to build hyper-relevant and targeted lead lists, automate workflows with a powerful AI agent, create personalized messaging, and stay up to date with AI triggers. The platform offers real-time data enrichment, job change tracking, and technographics to boost sales processes and generate a higher pipeline. Trusted by teams and businesses of all sizes, Persana AI revolutionizes sales prospecting workflows with its AI-driven insights and automation capabilities.

Trudo.ai
Trudo.ai is an AI-powered workflow automation platform that allows users to build complex workflows using simple English language commands. The platform is backed by Python code and features interactive UI components. Users can create and customize nodes, handle dynamic routing, and benefit from flexible memory allocation. Trudo.ai also offers AI Copilot functionality for non-technical users to generate logic and user interfaces. With support for various data types and no extra frameworks required, Trudo.ai covers a wide range of use cases and provides versions to track workflow changes.
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.

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.

ZerePy
ZerePy is an open-source Python framework for deploying agents on X using OpenAI or Anthropic LLMs. It offers CLI interface, Twitter integration, and modular connection system. Users can fine-tune models for creative outputs and create agents with specific tasks. The tool requires Python 3.10+, Poetry 1.5+, and API keys for LLM, OpenAI, Anthropic, and X API.

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.

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.

gemini-android
Gemini-Android is a mobile application that allows users to track their expenses and manage their finances on the go. The app provides a user-friendly interface for adding and categorizing expenses, setting budgets, and generating reports to help users make informed financial decisions. With Gemini-Android, users can easily monitor their spending habits, identify areas for saving, and stay on top of their financial goals.

Fueling-Ambitions-Via-Book-Discoveries
Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

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.

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.

cia
CIA is a powerful open-source tool designed for data analysis and visualization. It provides a user-friendly interface for processing large datasets and generating insightful reports. With CIA, users can easily explore data, perform statistical analysis, and create interactive visualizations to communicate findings effectively. Whether you are a data scientist, analyst, or researcher, CIA offers a comprehensive set of features to streamline your data analysis workflow and uncover valuable insights.

agno
Agno is a lightweight library for building multi-modal Agents. It is designed with core principles of simplicity, uncompromising performance, and agnosticism, allowing users to create blazing fast agents with minimal memory footprint. Agno supports any model, any provider, and any modality, making it a versatile container for AGI. Users can build agents with lightning-fast agent creation, model agnostic capabilities, native support for text, image, audio, and video inputs and outputs, memory management, knowledge stores, structured outputs, and real-time monitoring. The library enables users to create autonomous programs that use language models to solve problems, improve responses, and achieve tasks with varying levels of agency and autonomy.

smartcat
Smartcat is a CLI interface that brings language models into the Unix ecosystem, allowing power users to leverage the capabilities of LLMs in their daily workflows. It features a minimalist design, seamless integration with terminal and editor workflows, and customizable prompts for specific tasks. Smartcat currently supports OpenAI, Mistral AI, and Anthropic APIs, providing access to a range of language models. With its ability to manipulate file and text streams, integrate with editors, and offer configurable settings, Smartcat empowers users to automate tasks, enhance code quality, and explore creative possibilities.

trubrics-python
Trubrics is a Python client for event tracking and analyzing LLM interactions. It offers fast and non-blocking queuing system with automatic flushing to Trubrics API. Users can track events and LLM interactions, adjust logging verbosity, and configure flush intervals and batch sizes. The tool simplifies tracking user interactions and analyzing data for LLM applications.

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.

mlcontests.github.io
ML Contests is a platform that provides a sortable list of public machine learning/data science/AI contests, viewable on mlcontests.com. Users can submit pull requests for any changes or additions to the competitions list by editing the competitions.json file on the GitHub repository. The platform requires mandatory fields such as competition name, URL, type of ML, deadline for submissions, prize information, platform running the competition, and sponsorship details. Optional fields include conference affiliation, conference year, competition launch date, registration deadline, additional URLs, and tags relevant to the challenge type. The platform is transitioning towards assigning multiple tags to competitions for better categorization and searchability.

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.

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.

memobase
Memobase is a user profile-based memory system designed to enhance Generative AI applications by enabling them to remember, understand, and evolve with users. It provides structured user profiles, scalable profiling, easy integration with existing LLM stacks, batch processing for speed, and is production-ready. Users can manage users, insert data, get memory profiles, and track user preferences and behaviors. Memobase is ideal for applications that require user analysis, tracking, and personalized interactions.
20 - OpenAI Gpts

GSC Keyword Ranking Changes Scatter Plot
Export comparison data from GSC to get a scatter plot of keyword rankings before and after an update.

Pace Assistant
Provides running splits for Strava Routes, accounting for distance and elevation changes

Salary Guides
I provide monthly salary data in euros, using a structured format for global job roles.

Dutch SaaS Top 100 Growth in Employees
Analyze and interpret datasets on Dutch SaaS companies' employee growth. Created by [E-commercemanagers.com](https://e-commercemanagers.com).

MeepMouse
MeepMouse, the advanced computer mouse for developers, displays logs of edits made in a virtual IDE, simulating direct code manipulation.

Burning Earth
I'm Burning Earth, alarming users about environmental harm and climate change. Powered by Breebs (www.breebs.com)

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.

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 :)