Best AI tools for< Identify Performance Issues >

ManageBetter is a performance management platform that uses AI to help businesses improve employee performance. It offers a range of features, including continuous feedback, performance reviews, employee insights, and project achievement tracking. ManageBetter is designed to be easy to use and efficient, saving managers time and helping them to focus on developing their teams.

LogRocket is a session replay, product analytics, and issue detection platform that helps software teams deliver the best web and mobile experiences. With LogRocket, you can see exactly what users experienced on your app, as well as DOM playback, console and network logs, errors, and performance data. You can also surface the most impactful user issues with JavaScript errors, network errors, stack traces, automatic triaging, and alerting. LogRocket also provides product analytics to help you understand how users are interacting with your app, and UX analytics to help you visualize how users experience your app at both the individual and aggregate level.

Hexometer is an AI-powered website monitoring tool that helps businesses protect and grow their online presence. It continuously monitors websites for availability, performance, user experience, SEO, health, and security issues, and alerts businesses when problems are detected. Hexometer also provides businesses with insights into their website's performance and helps them identify opportunities for improvement.

The website seems to be experiencing a technical issue as it is displaying a '500 Internal Server Error'. This error typically indicates a problem with the server hosting the website, preventing it from fulfilling the request made by the user. The '500 Internal Server Error' is a generic error message that does not provide specific details about the underlying issue. Users encountering this error are advised to wait and refresh the page later, as it may be a temporary problem that the website administrators are working to resolve.

Out Of The Blue is an AI-powered revenue optimization platform designed to help eCommerce businesses identify and address revenue-impacting issues in real-time. The platform monitors key metrics and data sources across marketing, sales, and analytics systems to detect anomalies and outages that can lead to lost revenue. By leveraging AI and machine learning algorithms, Out Of The Blue automates the process of detecting and diagnosing revenue-related problems, enabling businesses to respond quickly and effectively. The platform provides actionable insights and recommendations to help businesses optimize their revenue streams and improve overall performance.

Webb.ai is an AI-powered platform that offers automated troubleshooting for Kubernetes. It is designed to assist users in identifying and resolving issues within their Kubernetes environment efficiently. By leveraging AI technology, Webb.ai provides insights and recommendations to streamline the troubleshooting process, ultimately improving system reliability and performance. The platform is user-friendly and caters to both beginners and experienced users in the field of Kubernetes management.

Atom.com is a website that utilizes Cloudflare's security service to protect itself from online attacks. Users may encounter a block when attempting to access the site due to triggering the security solution. In such cases, users are advised to contact the site owner and provide details of the incident. Cloudflare Ray ID is used to identify the specific block trigger. The website focuses on ensuring performance and security for its visitors.

MAIHEM is an AI-powered quality assurance platform that helps businesses test and improve the performance and safety of their AI applications. It automates the testing process, generates realistic test cases, and provides comprehensive analytics to help businesses identify and fix potential issues. MAIHEM is used by a variety of businesses, including those in the customer support, healthcare, education, and sales industries.

DevSecCops is an AI-driven automation platform designed to revolutionize DevSecOps processes. The platform offers solutions for cloud optimization, machine learning operations, data engineering, application modernization, infrastructure monitoring, security, compliance, and more. With features like one-click infrastructure security scan, AI engine security fixes, compliance readiness using AI engine, and observability, DevSecCops aims to enhance developer productivity, reduce cloud costs, and ensure secure and compliant infrastructure management. The platform leverages AI technology to identify and resolve security issues swiftly, optimize AI workflows, and provide cost-saving techniques for cloud architecture.

AdminIQ is an AI-powered site reliability platform that helps businesses improve the reliability and performance of their websites and applications. It uses machine learning to analyze data from various sources, including application logs, metrics, and user behavior, to identify and resolve issues before they impact users. AdminIQ also provides a suite of tools to help businesses automate their site reliability processes, such as incident management, change management, and performance monitoring.

Candor is an AI-powered team feedback platform that helps businesses improve team culture and performance. It offers a range of features including team retrospectives, check-ins, anonymous feedback, 1:1s, and 360 surveys. Candor's AI-driven insights help businesses identify and address issues within their teams, and its user-friendly interface makes it easy to set up and use. Candor is a valuable tool for any business looking to improve team communication, collaboration, and productivity.

Botify AI is an AI tool that helps users optimize their website for search engines. It provides advanced analytics and insights to improve website performance and visibility on search engine results pages. With Botify AI, users can track and analyze key SEO metrics, identify technical issues, and make data-driven decisions to enhance their online presence. The tool offers a comprehensive suite of features to streamline the SEO process and maximize organic traffic.

Evolv AI is an AI-led experience optimization platform that drives measurable business growth by continuously learning, optimizing, and accelerating UX experimentation to deliver results. It uses generative AI to evaluate digital experiences, identify conversion issues, and provide performance-boosting UX recommendations. Users can train the AI with specific business information, simplify prototyping, and implement with support. Evolv AI focuses on active learning through experimentation, leveraging AI and machine learning to create personalized experiences across multiple touchpoints. The platform integrates well with existing technology stacks, enabling continuous optimization and impactful business growth.

Omni Engage is a powerful omnichannel communications software designed to help businesses create meaningful and personalized interactions with their customers. It allows businesses to connect with their audience across multiple channels, including email, social media, and voice, and deliver a consistent and memorable experience for every customer. Omni Engage simplifies customer engagement with its Unified Inbox, which enables agents to handle requests from all channels seamlessly and efficiently. It also offers AI automation with Omni Automate, which streamlines customer interactions by automating routine inquiries and providing rapid response times. With its robust reporting and analytics capabilities, Omni Engage empowers supervisors to measure engagement and performance across all channels, identify areas for improvement, and drive success.

Bidmatic.io is a publisher-centric monetization platform that helps publishers maximize their revenue through programmatic advertising. It offers a range of features including header bidding, programmatic direct sales, and access to premium demand partners. Bidmatic.io's AI-powered optimization technology helps publishers select the best set of partners for each auction in real-time, maximizing yield and ad quality. The platform also provides detailed and transparent reporting, allowing publishers to track their performance and identify optimization opportunities.

Flamel.ai is a social media management platform designed specifically for multi-location brands and franchises. It enables businesses to manage social media content and engagement across all of their locations from a centralized platform. Flamel.ai uses AI to help businesses create personalized and engaging content that resonates with local audiences. The platform also provides analytics and insights to help businesses track their social media performance and identify areas for improvement.

Retorio is a cutting-edge Behavioral Intelligence (BI) Platform that fuses machine learning with scientific findings from psychology and organizational research to ultimately take learning and development to a new level within organizations. At the core of Retorio’s capabilities are its AI-powered immersive video simulations. Through these engaging role-plays, learners using Retorio get to train and develop the necessary skills through realistic scenarios. Furthermore, the personalized, on-demand feedback learners receive allows for immediate behavior change and performance improvement. Retorio’s training platform transcends the limitation of scalability and redefines how individuals and teams train and develop, bringing talent development to a new dimension.

Inspectorio is an AI-powered supply chain management platform that helps businesses transform their production chains. It digitizes and connects supply chain management processes within a single tool, enabling intelligent analysis and scalability of operations. Inspectorio's platform empowers teams to achieve strategic sustainability and sourcing goals through data-driven insights, increased transparency, and operational efficiencies.

Perspect is an AI-powered platform designed for high-performance software teams. It offers real-time insights into team contributions and impact, optimizing developer experience, and rewarding high-performers. With 50+ integrations, Perspect enables visualization of impact, benchmarking performance, and uses machine learning models to identify and eliminate blockers. The platform is deeply integrated with web3 wallets and offers built-in reward mechanisms. Managers can align resources around crucial KPIs, identify top talent, and prevent burnout. Perspect aims to enhance team productivity and employee retention through AI and ML technologies.

This website is an AI tool that helps senior developers analyze AI tech debt. AI tech debt is the technical debt that accumulates when AI systems are developed and deployed. It can be difficult to identify and quantify AI tech debt, but it can have a significant impact on the performance and reliability of AI systems. This tool uses a variety of techniques to analyze AI tech debt, including static analysis, dynamic analysis, and machine learning. It can help senior developers to identify and quantify AI tech debt, and to develop strategies to reduce it.

The Radicalbit AI Monitoring Platform provides a comprehensive solution for monitoring Machine Learning and Large Language models in production. It helps proactively identify and address potential performance issues by analyzing data quality, model quality, and model drift. The repository contains files and projects for running the platform, including UI, API, SDK, and Spark components. Installation using Docker compose is provided, allowing deployment with a K3s cluster and interaction with a k9s container. The platform documentation includes a step-by-step guide for installation and creating dashboards. Community engagement is encouraged through a Discord server. The roadmap includes adding functionalities for batch and real-time workloads, covering various model types and tasks.

Digma is a Continuous Feedback platform that provides code-level insights related to performance, errors, and usage during development. It empowers developers to own their code all the way to production, improving code quality and preventing critical issues. Digma integrates with OpenTelemetry traces and metrics to generate insights in the IDE, helping developers analyze code scalability, bottlenecks, errors, and usage patterns.

Neural Speed is an innovative library designed to support the efficient inference of large language models (LLMs) on Intel platforms through the state-of-the-art (SOTA) low-bit quantization powered by Intel Neural Compressor. The work is inspired by llama.cpp and further optimized for Intel platforms with our innovations in NeurIPS' 2023

cursor-tools is a CLI tool designed to enhance AI agents with advanced skills, such as web search, repository context, documentation generation, GitHub integration, Xcode tools, and browser automation. It provides features like Perplexity for web search, Gemini 2.0 for codebase context, and Stagehand for browser operations. The tool requires API keys for Perplexity AI and Google Gemini, and supports global installation for system-wide access. It offers various commands for different tasks and integrates with Cursor Composer for AI agent usage.

Scalene is a high-performance CPU, GPU, and memory profiler for Python that provides detailed information and runs faster than many other profilers. It incorporates AI-powered proposed optimizations, allowing users to generate optimization suggestions by clicking on specific lines or regions of code. Scalene separates time spent in Python from native code, highlights hotspots, and identifies memory usage per line. It supports GPU profiling on NVIDIA-based systems and detects memory leaks. Users can generate reduced profiles, profile specific functions using decorators, and suspend/resume profiling for background processes. Scalene is available as a pip or conda package and works on various platforms. It offers features like profiling at the line level, memory trends, copy volume reporting, and leak detection.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

ComfyUI-Copilot is an intelligent assistant built on the Comfy-UI framework that simplifies and enhances the AI algorithm debugging and deployment process through natural language interactions. It offers intuitive node recommendations, workflow building aids, and model querying services to streamline development processes. With features like interactive Q&A bot, natural language node suggestions, smart workflow assistance, and model querying, ComfyUI-Copilot aims to lower the barriers to entry for beginners, boost development efficiency with AI-driven suggestions, and provide real-time assistance for developers.

LLMFarm is an iOS and MacOS app designed to work with large language models (LLM). It allows users to load different LLMs with specific parameters, test the performance of various LLMs on iOS and macOS, and identify the most suitable model for their projects. The tool is based on ggml and llama.cpp by Georgi Gerganov and incorporates sources from rwkv.cpp by saharNooby, Mia by byroneverson, and LlamaChat by alexrozanski. LLMFarm features support for MacOS (13+) and iOS (16+), various inferences and sampling methods, Metal compatibility (not supported on Intel Mac), model setting templates, LoRA adapters support, LoRA finetune support, LoRA export as model support, and more. It also offers a range of inferences including LLaMA, GPTNeoX, Replit, GPT2, Starcoder, RWKV, Falcon, MPT, Bloom, and others. Additionally, it supports multimodal models like LLaVA, Obsidian, and MobileVLM. Users can customize inference options through JSON files and access supported models for download.

Moonshot is a simple and modular tool developed by the AI Verify Foundation to evaluate Language Model Models (LLMs) and LLM applications. It brings Benchmarking and Red-Teaming together to assist AI developers, compliance teams, and AI system owners in assessing LLM performance. Moonshot can be accessed through various interfaces including User-friendly Web UI, Interactive Command Line Interface, and seamless integration into MLOps workflows via Library APIs or Web APIs. It offers features like benchmarking LLMs from popular model providers, running relevant tests, creating custom cookbooks and recipes, and automating Red Teaming to identify vulnerabilities in AI systems.

Raga LLM Hub is a comprehensive evaluation toolkit for Language and Learning Models (LLMs) with over 100 meticulously designed metrics. It allows developers and organizations to evaluate and compare LLMs effectively, establishing guardrails for LLMs and Retrieval Augmented Generation (RAG) applications. The platform assesses aspects like Relevance & Understanding, Content Quality, Hallucination, Safety & Bias, Context Relevance, Guardrails, and Vulnerability scanning, along with Metric-Based Tests for quantitative analysis. It helps teams identify and fix issues throughout the LLM lifecycle, revolutionizing reliability and trustworthiness.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

FiniteMonkey is an advanced vulnerability mining engine powered purely by GPT, requiring no prior knowledge base or fine-tuning. Its effectiveness significantly surpasses most current related research approaches. The tool is task-driven, prompt-driven, and focuses on prompt design, leveraging 'deception' and hallucination as key mechanics. It has helped identify vulnerabilities worth over $60,000 in bounties. The tool requires PostgreSQL database, OpenAI API access, and Python environment for setup. It supports various languages like Solidity, Rust, Python, Move, Cairo, Tact, Func, Java, and Fake Solidity for scanning. FiniteMonkey is best suited for logic vulnerability mining in real projects, not recommended for academic vulnerability testing. GPT-4-turbo is recommended for optimal results with an average scan time of 2-3 hours for medium projects. The tool provides detailed scanning results guide and implementation tips for users.

MaxText is a high performance, highly scalable, open-source Large Language Model (LLM) written in pure Python/Jax targeting Google Cloud TPUs and GPUs for training and inference. It aims to be a launching off point for ambitious LLM projects in research and production, supporting TPUs and GPUs, models like Llama2, Mistral, and Gemma. MaxText provides specific instructions for getting started, runtime performance results, comparison to alternatives, and features like stack trace collection, ahead of time compilation for TPUs and GPUs, and automatic upload of logs to Vertex Tensorboard.

MMStar is an elite vision-indispensable multi-modal benchmark comprising 1,500 challenge samples meticulously selected by humans. It addresses two key issues in current LLM evaluation: the unnecessary use of visual content in many samples and the existence of unintentional data leakage in LLM and LVLM training. MMStar evaluates 6 core capabilities across 18 detailed axes, ensuring a balanced distribution of samples across all dimensions.

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs). By simulating real-world inference workloads, GuideLLM helps users gauge the performance, resource needs, and cost implications of deploying LLMs on various hardware configurations. This approach ensures efficient, scalable, and cost-effective LLM inference serving while maintaining high service quality. Key features include performance evaluation, resource optimization, cost estimation, and scalability testing.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

MaxText is a high-performance, highly scalable, open-source LLM written in pure Python/Jax and targeting Google Cloud TPUs and GPUs for training and inference. MaxText achieves high MFUs and scales from single host to very large clusters while staying simple and "optimization-free" thanks to the power of Jax and the XLA compiler. MaxText aims to be a launching off point for ambitious LLM projects both in research and production. We encourage users to start by experimenting with MaxText out of the box and then fork and modify MaxText to meet their needs.

Expert on computing performance, inspired by Brendan Gregg.

Critically analyze SLIs/SLOs with a deeper, provocative approach

This GPT answers all the questions related to Google Search Console

专为MYSQL与Django设计的DB-GPT，提供性能分析与优化建议。

The best assistant for IT admins, get to the root cause of any issue

Enthusiastic Java code optimizer with a focus on clarity and encouragement.

AI-powered sports analytics expert for sportsmind.io users.

Assists in optimizing SQL code with best practices and efficiency tips.

Does Pool Performance of Elite Triathletes Predict Open-Water Performance?

为 Java 代码优化提供高级解决方案

Guides project success through comprehensive performance monitoring.

Optimizes supplier performance for organizational efficiency and growth.

A career coach aiding in writing self-evaluations.

I'm your go-to for sports analysis and visualisations.

Drives financial performance improvement via strategic analysis and advice.

Enhances organizational performance through strategic skills development initiatives.

Analisi dettagliate e statistiche per il fantacalcio. Strategie, formazioni vincenti, e suggerimenti di mercato per la Serie A. Perfetto per chi cerca il podio nel proprio campionato. Aggiornamenti continui sui giocatori, performance e infortuni. Tutto quello che serve per la tua squadra ideale

Badminton Performance Analyst

Maximize your Stock Portfolio Performance with the Pareto Principle

Summarizes Indian companies, excluding financial performance in news.