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Kyanos is a networking analysis tool using eBPF. It can visualize the time packets spend in the kernel, capture requests/responses, makes troubleshooting more efficient.
Janus-Series: Unified Multimodal Understanding and Generation Models
Python tool for converting files and office documents to Markdown.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
[EMNLP 2024 (Findings)] mABC: multi-Agent Blockchain-inspired Collaboration for root cause analysis in micro-services architecture
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation,…
Industrial-first evaluation benchmark for LLMs in the DevOps/AIOps domain.
🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
Minimalist and zero-dependency scheduling library for Go
TiDB Vector SDK for Python, including code examples. Join our Discord: https://discord.gg/XzSW23Jg9p
extract internal monitoring data from application logs for collection in a timeseries database
🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at…
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
Anomaly detection related books, papers, videos, and toolboxes
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
log anomaly detection toolkit including DeepLog
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"