Ross ROSS = Recommend OSS · open-source software intelligence for agents

parseablehq/parseable

Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression. observed · 2026-08-28

github.com/parseablehq/parseable · homepage · Rust · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 87
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 8.0
  • age_days: 1491
  • days_rel: 7
  • days_push: 7
  • n_releases_24m: 63

Full methodology

Adoption not part of the score

2442 stars · 171 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Parseable is an open source, columnar data lake observability platform built in Rust that unifies logs, metrics, traces, and events in a single binary. It stores telemetry as Parquet on object storage with independent compute scaling, offering SQL/PromQL queries, dashboards, alerting, anomaly detection, and APM at a fraction of traditional observability costs.

Use cases

  • self-hosted log management and search
  • unified observability for logs, metrics, and traces
  • OpenTelemetry-native telemetry backend
  • reduce observability storage costs with columnar compression
  • monitor AI agents and LLM applications
  • replace ELK or Grafana Loki stack
  • query telemetry with SQL and PromQL
  • set up alerting and dashboards for infrastructure

When to choose

  • you want a single-binary observability platform with logs, metrics, and traces unified
  • you need cost-efficient, high-cardinality telemetry storage on object storage like S3
  • you want OpenTelemetry-native ingestion without plugins
  • you prefer open formats (Parquet) and no vendor lock-in
  • you need agent/LLM observability with AI-native analysis

When to avoid

  • you need a mature ecosystem with extensive community plugins and integrations like Grafana or ELK
  • you require long-term enterprise SLA support on the free tier
  • your team depends on advanced features like multi-tenant clusters or audit logging available only in the paid Enterprise edition
  • you need a lightweight log shipper rather than a full observability platform

Facets

service · maturity active

monitoring alerting logging search-engine analytics tracing data-visualization self-hosted object-storage monitoring cloud-computing self-hosted analytics infrastructure-as-code self-hosted cloud rust observability telemetry opentelemetry parquet data-lake promql apm log-management grafana-alternative s3 columnar devops linux macos docker kubernetes

9 sources

Member repositories

RepositoryRoleHealth v2
parseablehq/parseablemain95

For agents

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Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem