Best AI tools for< Tracking Data >

Alice is a fast, accurate AI transcription and recorder application that prioritizes privacy and cost-effectiveness. It allows users to securely record audio and video, transcribe in multiple languages and accents with high accuracy, and offers real-time text streaming. Alice integrates with various tools, supports webhooks, and is trusted by journalists for its reliability and security features. The application is designed to be user-friendly, efficient, and suitable for a wide range of tasks, making it a valuable tool for journalists, freelancers, and anyone in need of transcription services.

Bemi is an Automatic Audit Trail tool designed for PostgreSQL databases. It allows users to track data changes reliably without the need for complex engineering or costly infrastructure. Bemi offers seamless setup, contextualized data integration, default security measures, and storage in PostgreSQL databases. It is trusted by top tech companies and provides features for reliable and contextualized data tracking, audit & compliance, data recovery, observability & troubleshooting, and building activity feed. Bemi ensures data security, customer-level isolation, and integrates with ORM for easy data enrichment. The tool is loved by many users and has received positive testimonials for its efficiency and effectiveness in data tracking and audit trail management.

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.

Brainfish is an AI-powered platform that aims to transform customer experience by providing AI-powered answers, support, and product discovery throughout the full product journey. It offers dynamic CTAs, resolution paths, real-time alerts, guidance, and live communication to enhance user experience. Brainfish utilizes powerful ML models for a refreshing search experience, individualizes user journeys at scale, and provides behavioral data tracking for insights into user behavior. The platform helps in driving pipeline and product-led growth, personalizing onboarding and training, engaging users with real-time proactive guidance, deflecting issues while boosting NPS, helping users discover new features, and automating key support workflows for efficient growth.

Constructable is an AI Co-Pilot tool designed for the construction industry. It helps users track down project information efficiently by pulling together documents and communication from various sources. The tool offers centralized project data, AI-powered insights, real-time data sync, and seamless integration with existing software systems. Constructable ensures data traceability and helps users avoid costly mistakes by providing accurate and up-to-date information.

Opinly is an AI-powered competitive analysis tool designed to provide businesses with real-time data tracking and comprehensive competitive analysis. It offers services such as competitive price analysis, product comparison, landing page analysis, SEO monitoring, and competitor email monitoring. Opinly helps businesses gain strategic insights, understand market dynamics, make informed decisions, and stay ahead in the competitive market.

LearnMate is a revolutionary AI-integrated productivity app designed for students. It offers collaborative tools for study goal setting, assignment and task management, note-taking, and more. The app utilizes cutting-edge AI technology to enhance the learning experience and productivity of students. LearnMate is accessible on various devices, allowing seamless progress tracking and data synchronization across PCs, tablets, and mobile devices. With features like AI tutor assistance, assignment management, task lists, study notes creation, and more, LearnMate aims to revolutionize the way students study and excel in their academic endeavors.

The website is a fitness game application that aims to make fitness as fun and addictive as playing a game. It utilizes cutting-edge AI technology for full-body motion capture, allowing players to use their body as the game controller. Users can compete with players worldwide, track their exercise data, and witness transformation through daily workouts. The game is suitable for all ages and skill levels, offering various game modes for different preferences. It promotes social interaction, motivation, and healthy habits through gamification of exercise.

RealEye is an online research platform that uses webcam eye-tracking to collect data on user behavior. It allows researchers to conduct studies on attention, emotions, and mouse/key tracking. RealEye is easy to use and does not require any special equipment or software. It is a valuable tool for researchers who want to gain insights into how users interact with websites and other online content.

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.

Xmind is an AI-powered mind mapping tool that offers seamless team collaboration. It provides a full-featured platform for creating mind maps and brainstorming, with intuitive features to spark creativity. Users can jot down ideas, organize thoughts, and customize mind maps with ease. Xmind also offers unique structures like Fishbone, Org Chart, and Timeline, along with features such as Outliner, ZEN Mode, and Pitch Mode for enhanced productivity. The tool prioritizes user privacy, with no monitoring or tracking of private data, ad-free experience, and local file storage for enhanced security. Xmind has garnered positive feedback from users worldwide, including educators, professionals, and students, who praise its simplicity, power, and effectiveness in various tasks.

DVC is an open-source platform for managing machine learning data and experiments. It provides a unified interface for working with data from various sources, including local files, cloud storage, and databases. DVC also includes tools for versioning data and experiments, tracking metrics, and automating compute resources. DVC is designed to make it easy for data scientists and machine learning engineers to collaborate on projects and share their work with others.

AI Receipt Tracker is an intelligent tool designed for efficient receipt management and expense tracking. It utilizes artificial intelligence technology to automate the process of organizing and storing receipts, making it easier for users to track their expenses and manage their finances. With AI Receipt Tracker, users can easily capture, categorize, and store receipts digitally, eliminating the need for manual entry and paper clutter. The application offers a user-friendly interface and robust features to streamline the receipt management process, saving time and improving accuracy.

Mosaictrack is an AI-powered platform that revolutionizes the recruitment process by leveraging artificial intelligence to match candidates with suitable job opportunities. The platform offers a range of products and features, including diversity enhancement, chatbot engagement, and machine learning-based recruiting. Mosaictrack aims to streamline the hiring process, reduce bias, and improve candidate experience through innovative AI technologies.

Jyotax.ai is an AI-powered tax solution that revolutionizes tax compliance by simplifying the tax process with advanced AI solutions. It offers comprehensive bookkeeping, payroll processing, worldwide tax returns and filing automation, profit recovery, contract compliance, and financial modeling and budgeting services. The platform ensures accurate reporting, real-time compliance monitoring, global tax solutions, customizable tax tools, and seamless data integration. Jyotax.ai optimizes tax workflows, ensures compliance with precise AI tax calculations, and simplifies global tax operations through innovative AI solutions.

Eztrackr is an AI-powered application designed to help users organize their job hunt efficiently. It offers features such as job tracking, AI answer generator, AI cover letter generator, and Senja Skill Match to streamline the job application process. Users can track job applications effortlessly, gain valuable insights, and manage their job hunt statistics all in one place. Eztrackr aims to make job hunting less stressful and more organized by providing personalized AI tools and powerful features.

Bearkd Clicktracker is an adblock-proof AI tracking and attribution software designed to help e-commerce stores maximize profitability. It offers fully automated, customizable click fraud prevention and reporting, allowing users to identify and exclude invalid and wasteful traffic, including click fraud and bot attacks. Bearkd's AI-powered system analyzes every click against a wide range of markers to determine its legitimacy, ensuring accurate and reliable data for campaign optimization. With Bearkd, businesses can optimize for intent, enhance traffic quality, increase conversion rates, and protect their PPC budget from fraudulent activities.

Kupiks is an automated email parsing tool designed to simplify data entry processes by extracting key information from emails such as customer inquiries, leads, invoices, and more. It eliminates manual entry, saves time, and minimizes errors. The tool offers a simple and seamless solution to automate data entry and streamline workflows, making it ideal for customer support, order management, and expense management.

Databricks is a data and AI company that offers a Data Intelligence Platform to help users succeed with AI by developing generative AI applications, democratizing insights, and driving down costs. The platform maintains data lineage, quality, control, and privacy across the entire AI workflow, enabling users to create, tune, and deploy generative AI models. Databricks caters to industry leaders, providing tools and integrations to speed up success in data and AI. The company offers resources such as support, training, and community engagement to help users succeed in their data and AI journey.

DataTower.ai is an AI tool that offers a comprehensive platform for the measurement of advertising effectiveness and data analysis. It provides solutions for user acquisition success, accurate ad performance tracing, optimization of ad performance, precise audience targeting, around-the-clock strategy adjustments, and transformation of user journey insights into actionable business guidance. The platform integrates data analysis, attribution monitoring, event forwarding, and more features to empower enterprises in making efficient and accurate decisions.

ChatSim is a tool designed for editable scene simulation for autonomous driving via LLM-Agent collaboration. It provides functionalities for setting up the environment, installing necessary dependencies like McNeRF and Inpainting tools, and preparing data for simulation. Users can train models, simulate scenes, and track trajectories for smoother and more realistic results. The tool integrates with Blender software and offers options for training McNeRF models and McLight's skydome estimation network. It also includes a trajectory tracking module for improved trajectory tracking. ChatSim aims to facilitate the simulation of autonomous driving scenarios with collaborative LLM-Agents.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

Weights & Biases (W&B) is a platform that helps users build better machine learning models faster by tracking and visualizing all components of the machine learning pipeline, from datasets to production models. It offers tools for tracking, debugging, evaluating, and monitoring machine learning applications. W&B provides integrations with popular frameworks like PyTorch, TensorFlow/Keras, Hugging Face Transformers, PyTorch Lightning, XGBoost, and Sci-Kit Learn. Users can easily log metrics, visualize performance, and compare experiments using W&B. The platform also supports hosting options in the cloud or on private infrastructure, making it versatile for various deployment needs.

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.

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

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.

This repository provides a demo that tracks aircraft using Redis and Node.js by receiving aircraft transponder broadcasts through a software-defined radio (SDR) and storing them in Redis. The demo includes instructions for setting up the hardware and software components required for tracking aircraft. It consists of four main components: Radio Ingestor, Flight Server, Flight UI, and Redis. The Radio Ingestor captures transponder broadcasts and writes them to a Redis event stream, while the Flight Server consumes the event stream, enriches the data, and provides APIs to query aircraft status. The Flight UI presents flight data to users in map and detail views. Users can run the demo by setting up the hardware, installing SDR software, and running the components using Docker or Node.js.

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.

The openfoodfacts-ai repository is dedicated to tracking and storing experimental AI endeavors, models training, and wishlists related to nutrition table detection, category prediction, logos and labels detection, spellcheck, and other AI projects for Open Food Facts. It serves as a hub for integrating AI models into production and collaborating on AI-related issues. The repository also hosts trained models and datasets for public use and experimentation.

Unofficial Julia Bindings for wandb.ai. Wandb is a platform for tracking and visualizing machine learning experiments. It provides a simple and consistent way to log metrics, parameters, and other data from your experiments, and to visualize them in a variety of ways. Wandb.jl provides a convenient way to use Wandb from Julia.

aiosqlite is a Python library that provides a friendly, async interface to SQLite databases. It replicates the standard sqlite3 module but with async versions of all the standard connection and cursor methods, along with context managers for automatically closing connections and cursors. It allows interaction with SQLite databases on the main AsyncIO event loop without blocking execution of other coroutines while waiting for queries or data fetches. The library also replicates most of the advanced features of sqlite3, such as row factories and total changes tracking.

KeepChatGPT is a plugin designed to enhance the data security capabilities and efficiency of ChatGPT. It aims to make your chat experience incredibly smooth, eliminating dozens or even hundreds of unnecessary steps, and permanently getting rid of various errors and warnings. It offers innovative features such as automatic refresh, activity maintenance, data security, audit cancellation, conversation cloning, endless conversations, page purification, large screen display, full screen display, tracking interception, rapid changes, and detailed insights. The plugin ensures that your AI experience is secure, smooth, efficient, concise, and seamless.

AIQC is an open source Python package that provides a declarative API for end-to-end MLOps in order to make deep learning more accessible to researchers. It utilizes a SQLite object-relational model for machine learning objects and stacks standardized workflows for various analyses, data types, and libraries. The benefits include a 90% reduction in data wrangling, reproducibility, and no need to install and maintain application and database servers for experiment tracking. AIQC is pip-installable and provides a Dash-Plotly UI for real-time experiment tracking.

CSGHub Server is a part of the open source and reliable large model assets management platform - CSGHub. It focuses on management of models, datasets, and other LLM assets through REST API. Key features include creation and management of users and organizations, auto-tagging of model and dataset labels, search functionality, online preview of dataset files, content moderation for text and image, download of individual files, tracking of model and dataset activity data. The tool is extensible and customizable, supporting different git servers, flexible LFS storage system configuration, and content moderation options. The roadmap includes support for more Git servers, Git LFS, dataset online viewer, model/dataset auto-tag, S3 protocol support, model format conversion, and model one-click deploy. The project is licensed under Apache 2.0 and welcomes contributions.

BIG-Bench Mistake is a dataset of chain-of-thought (CoT) outputs annotated with the location of the first logical mistake. It was released as part of a research paper focusing on benchmarking LLMs in terms of their mistake-finding ability. The dataset includes CoT traces for tasks like Word Sorting, Tracking Shuffled Objects, Logical Deduction, Multistep Arithmetic, and Dyck Languages. Human annotators were recruited to identify mistake steps in these tasks, with automated annotation for Dyck Languages. Each JSONL file contains input questions, steps in the chain of thoughts, model's answer, correct answer, and the index of the first logical mistake.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

This repository contains the code and dataset for LDB, a novel debugging framework that enables Large Language Models (LLMs) to refine their generated programs by tracking the values of intermediate variables throughout the runtime execution. LDB segments programs into basic blocks, allowing LLMs to concentrate on simpler code units, verify correctness block by block, and pinpoint errors efficiently. The tool provides APIs for debugging and generating code with debugging messages, mimicking how human developers debug programs.

A curated list of data science & AI guided projects to start building your portfolio. The repository contains guided projects covering various topics such as large language models, time series analysis, computer vision, natural language processing (NLP), and data science. Each project provides detailed instructions on how to implement specific tasks using different tools and technologies.

Algolisted is a pioneering platform dedicated to algorithmic problem-solving, offering a centralized hub for a diverse array of algorithmic challenges. It provides an immersive online environment for programmers to enhance their skills through Data Structures and Algorithms (DSA) sheets, academic progress tracking, resume refinement with OpenAI integration, adaptive testing, and job opportunity listings. The project is built on the MERN stack, Flask, Beautiful Soup, and Selenium,GEN AI, and deployed on Firebase. Algolisted aims to be a reliable companion in the pursuit of coding knowledge and proficiency.

Generates a UUID in a text code block for any request.

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

Spot emerging trends in the latest STEM research (also see, just "Research Radar" for all disciplines)

Build extensions using the Eyeware Beam eye tracking SDK

Interactive step-by-step UTM Tag Generator for marketing campaigns.

A job assistant for CS grads, managing job applications and tracking in Excel.

Best Tools, Techniques and Tactics for Tracking Down Cyber Criminals.

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 :)

A helper for implementing Google Analytics 4 with tips and troubleshooting.

Expert in Google Analytics 4, GTM, BigQuery, and Looker Studio

We help you navigate Google Analytics 4 and start using it more.

Enhanced QA/QC expertise with user-driven improvements, powered by OpenAI

Historical product price tracker with analytical insights

I write detailed CSW reports and track user progress for improvement.

Theo dõi thị trường

Monitoring tools expert with brief responses and guiding hints.

Spot emerging trends in the latest social science research ( (also see, just "Research Radar" for all disciplines))

Tracking executive resignations and hires in public companies

Ask questions about Traccar GPS tracking system

Exploring time tracking.