Developer Tools / MLOps / Observability
Local-first observability and evaluation layer for production forecasts. Captures forecasts, validates them, computes horizon-aware metrics, and serves a read-only local UI for comparing runs.
The page clearly describes an AI-adjacent developer tool with a specific use case: observability and evaluation for production forecasting workflows. The README shows installation, quickstart commands, core concepts, metric coverage, and UI features, giving enough evidence for a useful directory listing.
The snapshot does not show broader adoption signals such as releases beyond tags, examples across multiple forecasting frameworks, or a live demo. It’s also not fully clear how the tool handles integrations outside the shown Python workflow.
Last evaluated 90 days ago. Current rank #76. Down 2 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
