Open-Source Observability · allinurl

goaccess

GoAccess is a lightweight, real-time terminal-based web log analyzer written in C that parses logs from Apache, Nginx, and other servers to display traffic statistics and anomalies. It can also generate self-contained HTML dashboards and supports WebSocket authentication and incremental log processing.

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Source: GitHub — github.com/allinurl/goaccess

20.7k

GitHub stars

1.2k

Forks

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	allinurl/goaccess
Owner	allinurl
Primary language	C
License	MIT — OSI-approved
Stars	20.7k
Forks	1.2k
Open issues	454
Latest release	Unknown
Last updated	2026-06-11
Source	https://github.com/allinurl/goaccess

What goaccess is

C-based command-line tool with ncurses TUI, minimal dependencies (only ncurses), built-in WebSocket server (gwsocket), and support for custom log formats including CLF, XLF, CloudFront, S3, and IIS W3C. Features in-memory hash tables with on-disk persistence and real-time HTML report generation via WebSocket.

Quickstart

Get the goaccess source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/allinurl/goaccess.git2cd goaccess3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

SSH-based server monitoring without GUI

Quick analysis of live access logs via terminal on remote servers, ideal for DevOps engineers and system administrators who need real-time traffic visibility without deploying a separate dashboard service.

Security and anomaly detection

Spot brute-force attempts, bot traffic, scanners, and unusual patterns directly from logs. Supports ASN mapping for detecting malicious traffic origins and can be run continuously for live monitoring.

Multi-server log aggregation and reporting

Process logs from multiple web servers (Apache, Nginx, Caddy) with custom formats and generate self-contained HTML/JSON/CSV reports for compliance, auditing, or historical analysis.

Implementation considerations

Minimal dependency footprint (only ncurses) simplifies deployment on restrictive or embedded systems, but compile-time configuration flags (UTF-8, GeoIP, zlib) must be chosen upfront.
Log format must be specified or auto-detected; misconfigured format strings will result in parsing failures and incomplete data—test against sample logs before production use.
Real-time HTML output uses WebSocket; ensure firewall/proxy rules permit WebSocket traffic if dashboard is accessed remotely, and verify JWT authentication integration matches your auth system.
Incremental log processing relies on on-disk state files; ensure write permissions and disk space are available, and understand that log rotation may interrupt or complicate incremental parsing.
Performance with very large logs (100GB+) depends on available RAM and hash table tuning; test memory usage and processing speed with actual log volumes before relying on it for massive datasets.

When to avoid it — and what to weigh

Need distributed, cloud-native log processing — GoAccess is designed for terminal or single-server HTML output; not built for distributed log ingestion, centralized aggregation across many servers, or streaming to external analytics platforms.
Require advanced statistical modeling or ML-driven insights — GoAccess provides standard metrics (hits, visitors, bandwidth, response times) but lacks machine learning, predictive analytics, or complex correlation analysis.
Need persistent, queryable data warehouse — While it supports incremental on-disk persistence, it is not a queryable database. Historical data exploration is limited; not designed for long-term data retention and ad-hoc queries.
Windows as primary deployment environment — Supported only via Cygwin or WSL; native Windows binary support is not clear. Not suitable for organizations standardized on Windows-only infrastructure.

License & commercial use

MIT License (OSI-approved, permissive). Allows commercial use, modification, and distribution with minimal restrictions; only requires inclusion of license and copyright notice.

MIT is a permissive license that permits commercial use without restriction. No commercial license or paid support model is mentioned in the provided data; verify with upstream whether commercial support, SLAs, or indemnification are available if required by your organization.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Good
Assessment confidence	High

Security considerations

Written in C; memory safety risks (buffer overflows, injection) are inherent to the language. Actively maintained project suggests security updates are possible. WebSocket authentication supports JWT verification (local and external), reducing plaintext credential exposure. Log parsing may expose sensitive data if logs contain passwords or tokens—filter logs before processing. No statement of security audit, threat model, or vulnerability disclosure policy in provided data; requires review of security.md or project security policy if available.

Alternatives to consider

Nginx/Apache built-in log modules or status pages

Lighter-weight, no external tool needed, but limited to real-time counts and basic metrics; less rich analytics and no terminal UI or HTML dashboard.

ELK Stack (Elasticsearch, Logstash, Kibana)

Distributed, queryable, advanced analytics and visualization; significantly higher operational complexity and cost; overkill for single-server or SSH-only monitoring.

Grafana + Prometheus with node-exporter

Cloud-native, scalable, agent-based; requires infrastructure setup and custom metric exporters; better for long-term metrics and alerting, not log parsing.

Software development agency

Build on goaccess with DEV.co software developers

GoAccess is ideal for DevOps teams and system administrators who need fast, lightweight log analysis without heavy infrastructure. Talk with our team to evaluate fit for your monitoring and security requirements.

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goaccess FAQ

Can GoAccess process logs in real-time as they are written?

Yes. GoAccess can tail log files and update metrics every 200ms in terminal mode or every 1 second in HTML mode. Use 'tail -f' or pipe new log entries for continuous monitoring.

Does GoAccess store historical data for long-term analysis?

Partial. GoAccess supports incremental on-disk persistence to resume analysis across restarts, but it is not designed as a queryable database. Historical data retention is limited to the lifetime of the running process or persisted state files.

What are the system requirements to run GoAccess?

Minimal: a *nix system (Linux, BSD, macOS), ncurses library, and a C compiler to build from source. Pre-built binaries are available via most package managers. RAM and disk depend on log volume; large logs (100GB+) may require significant memory for hash tables.

Can I integrate GoAccess with my existing authentication system?

Partial. HTML WebSocket output supports JWT-based authentication (local and external verification). If your system uses OAuth, SAML, or basic auth, custom reverse proxy authentication or integration work may be required.

Software development & web development with DEV.co

DEV.co helps companies turn open-source tools like goaccess into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source observability stack.

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