joshsim.org valid
Josh Language
v=20250924
- Authority
- 48 reach 0 · trust 8 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://joshsim.org/llms.txt
- llms-full.txt
- https://joshsim.org/llms-full.txt
- Sections
- 3
- Links
- 17
- Size
- 2767 bytes
- Registered
- 2025-03-12
- Country
- United States Hosting inference
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- United States Hosting inference
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- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-24T16:16:30.369Z
- Last checked
- 2026-10-24T16:16:31.565Z
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T16:16:30.475Z. Cached copy · Source on joshsim.org
# Josh Language
v=20250924
Josh is a domain-specific language (DSL) designed for ecological modeling, with a particular focus on vegetation and agent-based simulations. It is **strongly** recommended to review [llms-full.txt](llms-full.txt) which contains the complete Josh language specification.
## Resources
- [Full Documentation](llms-full.txt) - Complete Josh language specification and reference
- [Tutorial Series](docs/guide/md/index.md) - Step-by-step tutorials for simulation development
- [Getting Started](docs/guide/md/hello.md) - Basic introduction to Josh interface and concepts
- [Two Trees Tutorial](docs/guide/md/two_trees.md) - Intermediate modeling with multiple species
- [Fire Dynamics](docs/guide/md/grass_shrub_fire.md) - Advanced fire modeling and disturbance events
- [State Management](docs/guide/md/states.md) - Working with entity states and transitions
- [Python Integration](docs/guide/md/python.md) - Using Josh with Python for analysis
- [Command Line Interface](docs/guide/md/cli.md) - Josh CLI tools and preprocessing
- [Data Integration](docs/guide/md/data.md) - Working with external geospatial data
## Tutorial Series Overview
**Beginner Tutorials:** Basic interface, entities, and simple simulations
- [Hello Grid](docs/guide/md/hello.md) - Interface overview and basic Josh concepts
- [Data Integration](docs/guide/md/data.md) - Working with external data sources
**Intermediate Tutorials:** Multi-species modeling and spatial interactions
- [Two Trees](docs/guide/md/two_trees.md) - Multiple species and competitive interactions
- [State Management](docs/guide/md/states.md) - Entity states and behavioral transitions
**Advanced Tutorials:** Complex dynamics and tool integration
- [Fire Dynamics](docs/guide/md/grass_shrub_fire.md) - Disturbance modeling and fire effects
- [Python Integration](docs/guide/md/python.md) - Analysis workflows with Python
- [Command Line Tools](docs/guide/md/cli.md) - Preprocessing and batch execution
## Key Capabilities
**Ecological Modeling:** Multi-species vegetation simulations with patch-based spatial organization and agent-based individual behaviors
**Execution Environments:** Browser via WebAssembly, local JVM, and distributed via JoshCloud with no code changes required
**Geospatial Integration:** Preprocessing of GeoTIFF and NetCDF data into optimized .jshd format with coordinate system transformations
**Configuration Management:** External .jshc configuration files for parameter variation without code modification
**Josh Lang:** Human-readable domain-specific language with stanza-based entity definitions and event-driven behavioral modeling
**Data Export:** Multiple output formats including CSV, NetCDF, and GeoTIFF for analysis and visualization workflowsRelated sites
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| amesa.com | AMESA | documentation Developer tools | — | 46 | ✓ | ✓ | |
| samson-connect.net | SAMSON Documentation Center | documentation Science and research Developer tools +1 | DE | 50 | ✓ | ✓ | |
| shaneco.com | llm.txt — Guidance for Large Language Models (LLMs) | informational AI and machine learning | FR | 49 | ✓ | ||
| breitling.com | LLM.TXT - INSTRUCTIONS FOR LARGE LANGUAGE MODELS | informational AI and machine learning | — | 53 | ✓ |
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