tidwall/tile38

Real-time Geospatial and Geofencing

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 10 minutes ago
Added to GitGenius on September 6th, 2026
Created on March 4th, 2016
Open Issues & Pull Requests: 163 (+0)
GitHub issues: Enabled
Number of forks: 623
Total Stargazers: 9,726 (+0)
Total Subscribers: 205 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 36.7 hours
Mean response time: 47.1 days
90th percentile: 83.2 days
Tracked items: 45

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 96% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 7% of issues opened in the past year have been closed. Three people close 58% of everything that gets resolved.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 23
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 801 days
Stale 30+ days: 21
Stale 90+ days: 18

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (2)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Tile38 is an in-memory geospatial database and realtime geofencing server that indexes and queries location data.

Tile38 solves the problem of efficiently storing, indexing, and querying geographic data at scale. It maintains spatial indexes in memory and provides search methods including Nearby, Within, and Intersects queries to find objects based on their geographic relationships. The tool supports multiple object types—lat/lon points, bounding boxes, GeoJSON, Geohashes, XYZ tiles, and QuadKeys—allowing flexible representation of location data. Realtime geofencing capabilities trigger webhooks or pub/sub notifications when objects enter or leave defined geographic regions, including support for roaming geofences that move dynamically.

The tool persists data to disk while maintaining an in-memory index for performance, and it supports leader-follower replication for high availability. It offers multiple access protocols including HTTP, WebSockets, Telnet, and Redis RESP, making it compatible with existing Redis client libraries across many programming languages. The command-line interface and included benchmark tool support development and performance testing.

The project maintains active communication channels through Slack and Discord. Development activity shows consistent engagement with the codebase, with regular updates addressing functionality and stability. The tool is written entirely in Go, enabling compilation across Linux, macOS, Windows, FreeBSD, and other platforms in both 32-bit and 64-bit architectures. Pre-built binaries are available for major operating systems, and Docker images provide containerized deployment options.