analytics

grafana/grafana

Unified dashboards for metrics, logs, and traces across sources — Grafana lets teams query, visualize, and alert on data from Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and more in one place. Dynamic dashboards, cross-source mixing, and built-in alerting to Slack or PagerDuty make it useful for ops teams and analysts building a shared, data-driven view.

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

PostHog/posthog

PostHog repositions as a context layer for AI agents building products — PostHog bundles analytics, session replay, feature flags, experiments, error tracking, and logs into one open-source platform, now framed around giving AI agents the context to diagnose problems and ship fixes. It can be steered from Slack, web, desktop, or MCP, making it relevant for teams building AI-assisted product workflows.

:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

umami-software/umami

Cookieless web analytics with revenue and journey tracking built in — Umami bundles traffic, campaigns, behavior, conversions, and revenue data into one privacy-first analytics tool with no cookies or user surveillance. It runs self-hosted on Node.js and PostgreSQL or as a cloud service, making it a practical option for teams wanting Google Analytics-style insight without the tracking baggage.

Umami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place. No cookies, no surveillance, self-hosted or in the cloud.

langfuse/langfuse

Open-source tracing and evals for LLM apps and agents — Langfuse is a self-hostable platform to trace, evaluate, and debug LLM applications, with integrations for LangChain, LlamaIndex, and AutoGen plus a prompt playground and management tools. Backed by Y Combinator, it suits teams needing open, self-hosted observability instead of closed SaaS-only tools.

🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

openobserve/openobserve

A single-binary Datadog alternative claiming 140x lower storage costs — OpenObserve bundles logs, metrics, traces, RUM, session replay, pipelines, SLOs, and LLM observability into one cloud-native platform written in Rust. It positions itself as a simpler, petabyte-scale substitute for Datadog, Splunk, and Elasticsearch, deployable as a single binary with much lower storage overhead.

Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.

qax-os/excelize

A pure Go library for reading and writing Excel spreadsheets — Excelize is a pure Go library for creating, reading and modifying XLAM/XLSM/XLSX/XLTM/XLTX files compatible with Excel 2007+. It handles complex components like charts, formulas and VBA, and offers a streaming API for processing worksheets with huge datasets efficiently.

Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets

getlago/lago

Open-source billing infrastructure now built for AI usage pricing — Lago is self-hosted, open-source monetization infrastructure positioned as agentic-first for AI products: it meters tokens, compute, or API calls and turns that usage into pricing, credits, entitlements, invoices, and revenue. It targets teams building their own product (Lago Direct) or powering billing for their own customers (Lago Embedded), and is used by companies like Mistral AI and Groq.

Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

firebase/firebase-ios-sdk

Firebase's Apple SDK moves beyond CocoaPods toward Gemini AI tools — The official Firebase SDK for iOS and other Apple platforms is dropping new CocoaPods releases after October 2026 in favor of Swift Package Index, and it now previews a Gemini Foundation Models framework adapter via Firebase AI Logic. Useful for Apple developers integrating auth, database, storage, messaging, and AI features.

Firebase SDK for Apple App Development

lmnr-ai/lmnr

Observability for AI agents, built on OpenTelemetry tracing — Laminar (YC S24) traces agent runs with one-line OpenTelemetry SDK support for Vercel AI SDK, LangChain, Browser Use, Stagehand and major LLM providers. It adds plain-English 'signals' that Slack-alert on bad behavior, an evals SDK/CLI, SQL-queryable traces via MCP/CLI, and custom dashboards—useful for teams debugging and monitoring agent pipelines.

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

getnao/nao

Self-hosted agent that turns plain-English questions into SQL insights — nao is a self-hosted framework for building and deploying analytics agents. Data teams define context (data, metadata, docs, tools, MCPs) via the nao-core CLI, then expose a chat UI so business users can query warehouses like BigQuery, Snowflake or Databricks in plain English, with versioning and performance tracking.

👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone

ClickHouse/ClickBench

A Reproducible, Multi-Engine Benchmark for Analytical Databases — ClickBench tests dozens of OLAP, OLTP, serverless, and specialized databases (including DuckDB, BigQuery, Snowflake, Doris, DataFusion, chDB) against a real anonymized web-analytics dataset. Results are reproducible in ~20 minutes via documented shell scripts, making it useful for anyone comparing analytical database performance before adopting one.

ClickBench: a Benchmark For Analytical Databases

dbt-labs/dbt-charts

Dashboards as YAML, written for agents and audited by humans — dbt Charts (CLI `dct`) compiles declarative YAML board definitions, wrapped around SQL, into interactive dashboards. It targets the mess of vibe-coded dashboard stacks by giving AI agents a simple syntax to write and humans a clear artifact to audit, with a playground and MCP support for agent workflows.

Declarative YAML around SQL for dbt-native dashboards: easy for agents to write, easy for humans to audit.

dbt-labs/jaffle-shop

A hands-on sandbox for learning dbt Cloud with a fake sandwich shop — Updated for dbt v2.0.0+, this sandbox walks through dbt Cloud setup using the new Semantic Layer YAML spec with embedded semantic models and simple-type metrics. It suits analytics engineers wanting a guided, realistic project rather than toy examples; a legacy-spec branch and a local DuckDB variant are also referenced.

🥪🦘 An open source sandbox project exploring dbt workflows via a fictional sandwich shop's data.

graphene-data/graphene

An everything-as-code analytics framework built for AI agents — Graphene gives coding agents a semantic layer and a dashboard file type so they can run SQL analysis and build visualizations with more accuracy and polish than raw Python/JS. Controlled entirely via CLI, it targets teams who want agents to replace or augment traditional BI workflows, with version control and CI baked in.

Turn your coding agent into a world-class data analyst