Atlas turns OpenStreetMap data for a city, a country, or the whole planet into a maps backend your applications can search, route with, and query for nearby places, all on hardware you control: pick a region and it downloads and indexes that territory's data locally. Search behaves the way users expect, with autocomplete matches grouped into clusters across the installed dataset, numbered so dense areas stay readable, and a show-all action that frames the full result set. Routing returns directions for driving, cycling, and walking, and a map-matching endpoint snaps noisy recorded GPS tracks onto the real road network. Ask what is here at any coordinate and category pickers surface restaurants, stations, parking, and hundreds of other place types around it, while transit planning threads timetables into door-to-door journeys. The settings panel is the control room: toggle search, routing, points of interest, and transit independently, switch the active region, and watch live progress as new territory is ingested and merged in the background. Developers plug in through one consistent JSON API covering geocoding, reverse geocoding in batches, coverage checks, and every map capability, documented as a public OpenAPI reference. Because every dataset lives on the box, the map keeps answering during outages and inside private networks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

OpenRouteService gives applications driving directions, reachable-area polygons, and origin-destination travel times computed from OpenStreetMap data on hardware you control, with no metered API key. Ask for a route and it answers with turn-by-turn instructions, distance, duration, and elevation gain for cars, heavy trucks, several cycling styles, walking, hiking, and wheelchairs. Draw an isochrone and the map fills with the area reachable inside five, fifteen, or sixty minutes, ready for site selection, delivery zones, and coverage studies. The matrix endpoint prices every pairing in a grid of origins and destinations in one request, so fleet tools and location analytics stop making thousands of single calls. Steer results with avoid areas, controlled borders, tollways, ferries, and road classes, with per-request limits on distance and climb. Snap stray GPS points back onto the road network, export the underlying graph for your own network analysis, and watch instance health from the built-in status endpoints. Load the regional OpenStreetMap extract you actually serve, rebuild graphs on your schedule, and every answer stays inside your network at whatever volume your hardware allows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

OSRM computes the fastest route between any two points, the travel time between every pair of stops, and the road a noisy GPS trace really followed, all from OpenStreetMap data on your own server. Feed it a map extract for your city or the whole planet, preprocess it with the car, bicycle, or foot profile, and the HTTP API starts answering. The route service returns turn-ready paths with distances, durations, and geometry between any coordinates. The table service computes the full duration or distance matrix between all pairs of points, which is the raw material for dispatching, territory planning, and pickup optimization. Map matching snaps noisy GPS traces onto the road network in the most plausible way, cleaning fleet and fitness data into actual driven streets. The trip service orders a set of stops into an efficient round trip, and the nearest service snaps raw coordinates to the closest road segments. A tile service exposes routing metadata as vector tiles for debugging and visualization, and a public demo frontend shows routes on a live map. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-2-Clause licensed.

TileServer GL turns map data files on your server into the styled map tiles that websites and mobile apps expect, so your maps stop depending on a commercial tile provider and its usage bill. Feed it an MBTiles or PMTiles file, for example an OpenMapTiles extract of a city, a country, or the whole planet, and it serves vector tiles straight from the file to MapLibre GL JS, mobile SDKs, Leaflet, and OpenLayers clients. The full version renders raster tiles on the server side too, producing PNG, JPEG, and WebP images at standard or retina resolutions for clients that cannot draw vector maps. Cartography stays in your hands through GL styles: the server hosts the style JSON, sprites, and font glyphs, and every layer color, label, and road casing can be restyled and republished without touching the underlying data. GIS tools connect through WMTS capabilities documents, and TileJSON endpoints describe every served dataset for automatic client configuration. Static image endpoints answer with finished map pictures for reports, thumbnails, and emails, centered on coordinates or fitted to an area, with route lines and markers drawn onto the image on request. A built-in browser viewer lists your styles and data sources for a quick look at what is being served, terrain datasets can answer elevation queries by coordinate, and a health endpoint reports when the server is ready. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-2-Clause licensed.

With over 9,000 GitHub stars earned since Google killed its browser-based Timeline, Dawarich fills the gap with a fully self-hosted location history platform that keeps your movement data under your control. Built on Ruby on Rails 8.0 with PostgreSQL and the PostGIS spatial extension for geometry-based queries, Dawarich imports your entire Google Takeout location archive in minutes and begins rendering interactive maps immediately. The visualization engine supports five map layers — heatmaps, points, lines, Fog of War exploration tracking, and a 3D globe view — each powered by Leaflet and spatial SQL rather than browser-side computation. Native iOS and Android apps handle background GPS tracking with offline support, automatically uploading location points when connectivity returns, while third-party integrations support OwnTracks, GPSLogger, Overland, Home Assistant, Traccar, and PhoneTrack. The trip system lets you create route visualizations between any two dates, attach notes, replay travel paths with a timeline scrubber, and share trips publicly with phrase-protected links and per-section visibility controls. Immich and PhotoPrism integrations automatically overlay geotagged photos on your maps and trips, while AirTrail integration renders flight history as arcs. Statistics dashboards break down countries visited, cities explored, total distance traveled, and active days by year and month, with visit detection suggesting places you have frequented. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Transforming scattered spatial files into an interactive data catalog, GeoLens empowers engineering and GIS teams to organize geospatial assets, execute semantic searches, and build interactive 3D maps on self-hosted infrastructure. Users can ingest shapefiles, GeoJSON boundaries, database tables, and Cloud-Optimized GeoTIFF rasters into a centralized inventory with automatic source freshness auditing. Natural language queries evaluate dataset relevance across spatial boundaries and thematic tags, allowing analysts to uncover hydrology networks or zoning footprints without knowing exact layer names. The browser-based composition canvas lets cartographers extrude three-dimensional building footprints, overlay elevation terrain contours, color features by attribute values, and reorder layer hierarchies with drag-and-drop ease. Finished map projects publish immediately as secure shareable web links or responsive embeds for external dashboards. Desktop GIS operators can connect directly from QGIS or ArcGIS through native OGC API Features and STAC endpoints to query live vector tiles and run spatial filters. Teams can export filtered geometries into GeoPackage, FlatGeobuf, GeoParquet, or PMTiles archives to support downstream analysis workflows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Spreadsheets and sticky notes stop scaling the day your network grows past a rack or two, so JT-IPAM keeps every address, subnet, and device in one searchable system of record. Track subnets and individual IPs with their hostnames, MAC addresses, and owners, then reconcile what you documented against what scan agents actually find through ICMP, ARP, reverse DNS, and SNMP collection from routers and switches. Connect the DNS servers you already run, from PowerDNS and BIND 9 to Windows DNS and Technitium, and flag records that have no matching address in IPAM. Pull devices and virtual machines in from LibreNMS, Zabbix, Proxmox VE, ESXi, Hyper-V, and OpenStack so monitoring and address records stop drifting apart. Draw floor plans and rack elevations, trace a cable across multiple hops, and open an SSH terminal, SFTP browser, or RDP desktop to a device straight from its address page. Route new address requests through configurable multi-stage approval workflows, distribute certificates to web servers and firewalls from central encrypted storage, and keep a full audit trail of every change and console session. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Microcks turns your API specifications into living mocks and contract tests, so teams can develop and verify against an API long before the real implementation exists. Feed it OpenAPI, AsyncAPI, GraphQL schemas, gRPC Protobuf files, Postman collections, or SoapUI projects, and it immediately publishes mock endpoints that answer with realistic examples drawn from the specification itself. Dispatching rules route requests by path, query parameters, headers, body content, or XPath and Groovy expressions, while content negotiation and templating functions shape each response to look convincingly real. Event-driven APIs get the same treatment, with AsyncAPI mocks that publish messages to Kafka topics or WebSocket channels your consumers can subscribe to during development. When an implementation shows up, contract tests replay the recorded expectations against the live service and report every mismatch, down to the exact request and response that failed. Run those tests from the web interface, on a schedule, or from CI pipelines with the command-line client, and wire importers to rescan your Git repositories so new specification versions appear as mocks automatically. The built-in hub adds one-click samples and reusable API packages, giving a new team a stocked repository of mockable services within minutes of the first login. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Locust is a load-testing tool that turns plain Python scripts into swarms of simulated users, so you can find out exactly how much traffic your service survives before it falls over. You model real behavior with ordinary Python: classes describe user types, tasks carry weights, and waits plus conditional logic mimic how people actually browse, log in, and check out. The web interface starts the swarm, charts requests per second, response times, and failures as they happen, and lets you raise or lower the load mid-run the moment a bottleneck appears. One machine is rarely the limit: a master process coordinates worker processes across as many machines as you can give it, and every worker runs thousands of greenlet users without thread overhead. HTTP is the home turf, but custom clients let the same scripts load-test WebSockets, gRPC, databases, message queues, or any protocol you can call from Python. Custom load shapes bend the user curve into steps, waves, or double peaks that mirror launches and flash sales instead of a flat ramp. Results export as CSV data and standalone HTML reports for the team, stats can stream into TimescaleDB and Grafana during long runs, and headless mode drops the whole test into CI pipelines. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Before a language model learns from your data, someone has to label it well; Argilla gives AI engineers and domain experts a shared workspace to label, review, and refine the datasets that fine-tune language models and train NLP pipelines. You build each dataset from the Python SDK, mixing text, chat, and image fields with the exact questions your task needs: single-label classification for intent detection, span questions for named entities, ratings for response quality, rankings for preference tuning, or free text for corrections. Annotators then work through records in a focused labeling interface where model predictions already sit attached as suggestions, turning most reviews into a fast confirm-or-correct decision instead of a blank-page exercise. Full-text search, metadata filters, and status filters slice a hundred thousand records down to the ones needing attention, while vector-based semantic search finds lookalike examples, near-duplicates, and the disagreement hotspots where guidelines need sharpening. Dataset owners watch completion progress, manage who has responded to what, and split work across workspaces with owner, admin, and annotator roles for each team or client. Finished datasets export with responses, suggestions, and metadata intact, locally or straight to the Hugging Face Hub, ready for fine-tuning and evaluation runs. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.