#environment

Convert between .env (dotenv) files and JSON, in both directions. The parse endpoint reads .env text into a clean JSON object: it skips blank lines and # comments, honours an optional leading export, unquotes single- and double-quoted values (interpreting \n, \t and \" escapes inside double quotes), strips inline comments after unquoted values, supports values that span several lines inside quotes, and can optionally expand ${VAR} and $VAR references against the variables already defined earlier in the same file — while leaving single-quoted values strictly literal. The stringify endpoint turns a JSON object back into a valid .env file, quoting only the values that actually need it and optionally prefixing every line with export for shell sourcing. Everything is computed locally and deterministically, so it is instant and private — your secrets never leave the request. Ideal for config tooling and migrations, CI/CD pipelines, converting .env to JSON for apps that want structured config (and back), and validating environment files. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This handles the dotenv format; for INI files with [sections] use an INI API, and for YAML or TOML use those APIs.

api.oanor.com/dotenv-api

Long-term climate projections as an API — daily, downscaled output from high-resolution CMIP6 global climate models for any location on Earth, from 1950 all the way to 2050. See how temperature, precipitation, wind and humidity are projected to change under a warming climate: get the daily projection over any date range (choose your variables and climate model), or per-year aggregates — annual mean temperature and total precipitation — that reveal the warming trend at a place over the coming decades. Seven HighResMIP models are available (EC_Earth3P_HR, MPI_ESM1_2_XR, MRI_AGCM3_2_S, CMCC_CM2_VHR4 and more). From planning and agriculture to risk assessment, sustainability and climate research, it turns climate-model data into a simple coordinate-in, projection-out call. A climate-projection resource — distinct from real-time weather forecasts, historical weather observations and Köppen climate classification. Open data from Open-Meteo (CC BY 4.0), based on the CMIP6 HighResMIP ensemble.

api.oanor.com/climateprojections-api

Independent greenhouse-gas emissions data as an API — powered by Climate TRACE, the coalition (backed by Al Gore) that monitors global emissions from satellites, sensors and AI rather than self-reported figures. Get any country's emissions for a given year — CO2, methane (CH4) and nitrous oxide (N2O) in tonnes, plus CO2-equivalent over 100- and 20-year horizons — together with the country's global emissions rank and its share of total world emissions; pass several countries at once to compare them side by side. List the full set of sectors, subsectors and gases that Climate TRACE tracks (power, transportation, manufacturing, agriculture, fossil-fuel operations, waste and more). From China and the United States to any nation on Earth, with data from 2015 onward, it is ideal for climate, ESG, sustainability, policy, journalism and research applications. An independent emissions-inventory data source — distinct from electricity-grid carbon intensity, activity footprint calculators and climate classification. Open data from Climate TRACE (CC BY 4.0).

api.oanor.com/climatetrace-api

Solar photovoltaic potential for any location on Earth, powered by the EU JRC PVGIS (Photovoltaic Geographical Information System). Estimate how much energy a solar PV system would produce at a given coordinate — yearly and month-by-month output in kWh, the in-plane solar irradiation and a breakdown of system losses (angle-of-incidence, spectral, temperature) — for any panel size, fixed tilt and azimuth; find the optimal panel tilt and orientation that maximises annual output; and read the long-term monthly global horizontal solar irradiation. Covers most of the world (excluding polar and open-ocean areas) from years of satellite-based solar data. Ideal for solar installers and calculators, renewable-energy planning, home-energy and roof-potential tools, and climate / sustainability apps. Open data from EU JRC PVGIS.

api.oanor.com/pvgis-api

Global river-discharge and flood forecasting as an API, powered by the GloFAS (Global Flood Awareness System) model via Open-Meteo. For any coordinate on Earth, get a daily river-discharge forecast of up to 30 days — with the ensemble spread (mean, max and min across forecast members) so you can gauge uncertainty — plus up to 90 days of recent discharge history, and a quick current-situation summary with today's discharge and a 7-day outlook (peak day, max/min and rising/falling/stable trend). Discharge is reported in cubic metres per second. Ideal for flood early-warning and monitoring, insurance and reinsurance risk, agriculture and irrigation planning, hydropower, and environmental research. Data covers modelled rivers worldwide (none over open ocean). Open data via Open-Meteo / GloFAS.

api.oanor.com/flood-api

Current air quality and hourly forecast for any location — European and US AQI plus PM2.5, PM10, ozone, nitrogen dioxide, sulphur dioxide, carbon monoxide, dust and UV index. Powered by Open-Meteo. Just pass a latitude and longitude.

api.oanor.com/airquality-api