Skip to main content

ecosemantic

The command that runs EcoSemantic on a machine, and the Python API over the same workspace: ecosemantic serve runs the MCP server with the page beside it, ecosemantic setup installs a background database, ecosemantic connect writes a chatbot's configuration, and import ecosemantic as es opens a workspace from Python.

Names it publishes

  • ecosemantic.cli and ecosemantic.console — the command: serve, setup, database, connect, doctor, init, export, import and compute.
  • ecosemantic.local — build_context, the local composition that binds the server's ports to their backends.
  • ecosemantic.serve — the process: the listener and its handover, the MCP endpoint over stdio or HTTP, and the view mounted beside it.
  • ecosemantic.workspace — the Python API: open, and the Workspace, Database, ProductSystem and Process handles, each method the tool of that name.
  • ecosemantic.installs — the sources an install comes from, the process that carries one and the account handed to it.
  • ecosemantic.runs — the launcher and the worker of a calculation that outlives its request.
  • ecosemantic.open, Workspace, Parameter, Case, Uncertainty, ExchangeOverride, ParameterOverride, DemandItem, BackgroundRef, ForegroundRef, ElementaryFlowRef, SystemRef and MonteCarloConfig — the names import ecosemantic as es gives.

Installing it

uv tool install --python 3.12 ecosemantic installs this distribution as a command, with a Python of its own; uv tool install --python 3.12 "ecosemantic[mkl]" adds the PARDISO solver, on Linux and Windows x86-64. pip install ecosemantic installs it into an environment of Python 3.12 or newer instead.

ecosemantic doctor
ecosemantic setup uslci
ecosemantic serve --transport http

Telemetry

A server counts its starts and tool calls anonymously unless you turn that off: ecosemantic telemetry off, ECOSEMANTIC_TELEMETRY=off or DO_NOT_TRACK=1. The repository's TELEMETRY.md states exactly what is sent.

What it depends on

The other five distributions at the same version, ecosemantic-databases with its ecoinvent extra, so a default install builds an ecoinvent release; and fastmcp, fastmcp-slim, pydantic, starlette and uvicorn. The mkl extra is ecosemantic-engine's.

Licence

PolyForm Noncommercial License 1.0.0, copyright Carlos Gaete-Morales: LICENSE and NOTICE in this distribution. Any noncommercial purpose is permitted, by individuals and by charities, schools, public research and government bodies; commercial use needs a separate licence from him (cdgaete@gmail.com). EcoSemantic is his trademark, and the licence grants no right to use that name (TRADEMARK.md in the repository). The repository's README says how to install, connect a chatbot and start a first model: https://github.com/cdgaete/ecosemantic

Metadata

Release files for ecosemantic 0.1.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ecosemantic 0.1.9
File Size Uploaded Provenance Actions
ecosemantic-0.1.9.tar.gz 38.5 kB Without provenance Details for ecosemantic-0.1.9.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ecosemantic 0.1.9
File Interpreter ABI Platform Actions
ecosemantic-0.1.9-py3-none-any.whl Python 3 none any Details for ecosemantic-0.1.9-py3-none-any.whl

Total release size: 88.7 kB

Release files / ecosemantic-0.1.9.tar.gz

Download URL ecosemantic-0.1.9.tar.gz
Size 38.5 kB
Tags Source
SHA-256 checksum
How to use checksums
b5865e12f463c169ce0213e89cd145c2f50f378758c0d309a568ff875679c785
BLAKE2b-256 checksum
How to use checksums
52d56f9acdb010a295e07346b4e156c5ce1a54f97bbed6968f0bb3972e9f7e9d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / ecosemantic-0.1.9-py3-none-any.whl

Download URL ecosemantic-0.1.9-py3-none-any.whl
Size 50.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9854f2cd39463b711522d055e40cd29be8ed862eba32884cf57b98146baea886
BLAKE2b-256 checksum
How to use checksums
801509fa3a1be012600f09457d10a8bb9757b32bd7f9c14d8de0a4dc905d72cd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Security for ecosemantic 0.1.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page