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Horizon is an open-source daily outdoor planner that combines a location, a weather forecast and astronomy calculations to recommend one clear one-to-three-hour window for going outside. It also explains what is worth seeing in the sky during that window. Local Gemma narration through Ollama, hosted-model options and deterministic fallbacks mean the core can remain useful without a paid AI service.
What Horizon does
Horizon is built around two questions: “When is the best time for me to go outside today?” and “What can I see in the sky?” Instead of presenting separate weather charts, astronomical ephemerides and a long forecast, it turns those inputs into a short daily recommendation. You provide a location, and Horizon evaluates the day in one-to-three-hour blocks. The result is a practical time window, a compact explanation of the conditions and a list of sky objects or events that may be interesting then.
The design is deliberately action-oriented. The project author, Bhushan Vidhate, describes the screen as a starting point whose real goal is for the user to close the tab and look up. That makes Horizon different from a dashboard that expects you to interpret several graphs yourself. It is intended for a person deciding when to walk, run, work outdoors or stargaze, not for an astronomer who needs a full observing log.
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How a Horizon recommendation is produced
The documented pipeline is location, sky, weather, news, narration, optional voice and storage. Each stage contributes a different part of the answer.
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1. Location and geocoding
You start by entering a place. Open-Meteo supplies geocoding as well as weather data, allowing Horizon to translate a place name into the location used for the calculation. The location matters twice: weather conditions are local, and sunrise, sunset, Moon position and visibility depend on the observer’s coordinates and date.
2. Astronomy calculations
Skyfield calculates the astronomical context. Horizon can use it for sunrise and sunset, Moon phase, planets, constellations, meteor showers and calendar events. These calculations provide the “what can I see?” part of the answer and let the planner distinguish a comfortable daytime outing from a promising period for looking at the night sky.
3. Weather inputs
Open-Meteo provides the forecast values used by the outdoor score. Horizon considers temperature, apparent temperature where available in the forecast, rain chance, wind, cloud cover and ultraviolet (UV) conditions. Cloud cover is especially important for stargazing, while rain and wind can make an otherwise clear period unpleasant for a walk or run.
4. Block scoring
The day is divided into one-to-three-hour blocks. Horizon scores each block for comfort and combines that score with sky visibility. The project description does not publish the weighting formula or any user controls for changing the weights, so the score should be treated as a decision aid rather than a scientific comfort index. A block with mild temperatures and low rain, wind and cloud risk is favored; a block with a promising astronomical event but poor weather can be downgraded.
5. Narration and fallbacks
A narrator turns the structured result into a short explanation. Gemma can run locally through Ollama, so a model response does not have to leave your machine when that configuration is used. Hosted routes include OpenRouter, AI Studio and Hugging Face. If a model is unavailable, Horizon can use a deterministic template narrator instead. That fallback is important because it preserves a readable recommendation without making the planner dependent on an external model endpoint.
6. Optional news, voice and storage
The pipeline can add headlines, voice output and persistent storage, but these are optional integrations rather than requirements for the basic planner. SerpApi can provide headlines, ElevenLabs can provide text-to-speech, and MongoDB Atlas can store data. A local SQLite fallback keeps storage available when an external database is not configured. Sentry tracing and a DigitalOcean App Platform deployment specification are also listed as optional project integrations.
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What the result contains
A useful Horizon result has two layers. The first is the decision: the recommended time range and the practical weather conditions during it. The second is the explanation: sunrise or sunset timing, Moon illumination, visible constellations, planets, meteor showers or other calendar events. This keeps the answer short enough to act on while still telling a casual observer what to look for.
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| Item | Value in the Hyderabad example |
|---|---|
| Recommended window | 04:00–07:00 |
| Temperature | 26°C |
| Feels like | 27°C |
| Rain chance | 0% |
| Wind | 5 km/h |
| Cloud cover | 0% |
| Sunrise | 06:08 |
| Sunset | 17:58 |
| Moon | New Moon, 0% illumination |
| Suggested sky targets | Aquila, Lyra, Cygnus, Sagittarius and Pegasus |
In that example, the early window combines comfortable conditions with a dark sky before sunrise. The constellation list is a prompt for observation, not a guarantee that every object will be easy to see from a bright urban location. Buildings, haze, local light pollution and the observer’s horizon can all reduce what is visible.
How to use Horizon for today’s decision
- Enter your location. Use the place where you will actually be outdoors rather than a distant city center. A few kilometers can change cloud conditions, wind exposure and the amount of light pollution.
- Read the recommended block first. Treat the one-to-three-hour period as the planner’s best compromise between comfort and sky visibility. Check the date and local time before making plans, especially when traveling or crossing a time zone.
- Check the comfort details. Temperature alone is not enough. Rain chance, wind, cloud cover and UV explain why a block was preferred and whether you need water, sun protection or an extra layer.
- Read the sky explanation. Note whether Horizon is pointing you toward the Moon, a planet, a constellation, a meteor shower or a calendar event. Sunrise and sunset times tell you how much darkness remains in the chosen period.
- Match the window to your activity. A runner may value low UV and moderate temperature, while a stargazer may accept cooler air for lower cloud cover. Horizon supplies one recommendation; you still decide whether it fits your own tolerance and schedule.
- Look up rather than keep refreshing. Forecasts change, but repeatedly watching the dashboard does not improve the view. Use the result to choose a time, then take the relevant safety and clothing precautions.
Who benefits most
Busy people who want one answer
If you do not want to compare hourly weather rows with a separate astronomy app, Horizon reduces that decision to a single window and a short explanation. It is particularly useful when the question is simply whether there is a clear, comfortable time today.
Casual stargazers
You do not need to know which constellations are overhead before using the planner. Skyfield supplies the astronomical context, and the narration gives you a small list of targets to learn. This is an approachable starting point for finding familiar patterns rather than an equipment-heavy observing workflow.
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Walkers, runners and remote workers
For daytime activities, cloud, rain, wind, temperature and UV can matter more than a rare celestial event. Horizon’s comfort-and-visibility combination can nudge you toward a period that is easier on your body and more pleasant outdoors.
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Families and educators
A short, location-specific prompt can turn an evening walk into a simple lesson about Moon phases, planets or constellations. Because the output is concise, it can be read aloud before putting phones away.
Local AI, privacy and service dependencies
Horizon’s local-AI option is Gemma through Ollama. With that setup, narration can be generated on the same computer instead of being sent to a hosted model. The project also supports OpenRouter, AI Studio and Hugging Face for hosted inference, which may be easier on limited hardware but introduce an external service and its account, network and policy requirements.
The core is designed to work with zero paid APIs. That does not mean every possible feature is local: SerpApi headlines, ElevenLabs voice, MongoDB Atlas storage and Sentry tracing are optional services. A deployment that enables them will have different privacy and availability characteristics from a minimal local installation. Review which integrations are enabled before entering a location or other data you do not want sent to a third party.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchWhen the model or external database is unavailable, the deterministic narrator and SQLite fallback are intended to keep the core usable. The trade-off is that a template response is less flexible than a language model, and local inference may require enough memory and processing capacity for the chosen Gemma configuration. The project description does not publish hardware requirements or response-time measurements, so those should be evaluated on the machine where you plan to run it.
Open-source architecture and deployment choices
Horizon is described as MIT-licensed and self-contained. An MIT license generally allows broad use, modification and redistribution subject to its license notice, but you should read the project’s actual license file for the precise terms of the version you deploy.
The architecture separates the essential path from optional services:
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| Capability | Core or optional path | What it contributes |
|---|---|---|
| Geocoding and weather | Core | Location resolution and forecast values through Open-Meteo |
| Astronomy | Core | Sun, Moon, planets, constellations, meteor showers and calendar events through Skyfield |
| Narration | Core with fallbacks | Local Gemma through Ollama, hosted providers or a deterministic template |
| Storage | Core fallback available | Local SQLite when an external database is not used |
| Headlines | Optional | SerpApi news integration |
| Voice | Optional | ElevenLabs text-to-speech |
| Cloud database | Optional | MongoDB Atlas persistence |
| Tracing | Optional | Sentry monitoring |
| Hosting | Optional | DigitalOcean App Platform specification; a live Render demo is also described by the author |
This separation lets you choose between a small local planner and a hosted deployment with richer integrations. A local setup is the better fit when minimizing external dependencies is more important than cloud convenience. A hosted setup can make access easier across devices, but it requires you to understand where forecasts, narration requests, logs and stored data travel.
What the published testing claim means
The project author reports 84 offline unit tests at approximately 95% coverage. Continuous integration is reported for Python 3.10, 3.11 and 3.12, with Ruff, the full test suite and a packaging smoke test. Those are project-reported engineering claims from 2026, not an independent audit or a guarantee that every forecast, astronomical output or deployment will behave correctly in your environment.
Test coverage can help catch regressions in code paths, but it cannot guarantee a cloud provider’s uptime, the accuracy of a future weather forecast or visibility from a specific balcony. Treat the recommendation as guidance and use ordinary outdoor judgment for heat, storms, traffic, darkness and other hazards.
How Horizon differs from a conventional app stack
Many people already have a weather app and can open an astronomy site separately. Horizon’s distinctive choice is to combine those steps and return one decision. The following comparison describes the design trade-off, not a benchmark against any named product.
| Decision factor | Horizon’s approach | Separate weather and sky tools |
|---|---|---|
| Weather plus astronomy | One score combines comfort signals with sky visibility. | You interpret forecasts and astronomical information yourself. |
| AI and fallback behavior | Local Gemma, hosted models or deterministic narration; SQLite is available as a storage fallback. | Behavior depends on each app’s own service and offline support. |
| Recommendation length | A short one-to-three-hour window and explanation. | Often several charts, pages or notifications that require more interpretation. |
| Event coverage | Sunrise, sunset, Moon phase, planets, constellations, meteor showers and calendar events through Skyfield. | Coverage varies by the individual app. |
| Voice and notifications | ElevenLabs voice is optional; notification support is not specified in the project description. | Some products may offer built-in alerts, but availability depends on the product. |
| Privacy and external services | Core can avoid paid APIs; hosted AI and optional integrations add external dependencies. | Usually governed by each provider’s account and data policies. |
| Source availability | Described as MIT-licensed open source. | Many consumer apps are proprietary. |
The trade-off is focus. Horizon is useful when you want a decision and a reason. It is not presented as a replacement for detailed weather radar, professional astronomical planning, a dark-sky map or an emergency alert system.
Limitations to understand before relying on a window
- Forecast uncertainty: A 0% rain chance or 0% cloud value in an example is not a promise for every future run. Weather forecasts update and local conditions can differ from the forecast grid.
- Visibility is local: Skyfield can calculate astronomical positions, but it cannot remove buildings, trees, haze or city light pollution from your view.
- No published weighting details: Horizon combines comfort and sky visibility, but the documented material does not state the exact formula or let you tune the relative importance of each factor.
- Not a safety service: The planner does not replace heat, lightning, air-quality, road-safety or personal-risk decisions. Check relevant local warnings before leaving.
- Service differences: Local Ollama, hosted inference, SQLite and cloud integrations have different failure modes, costs and privacy implications.
- Accessory is optional: You can use Horizon with unaided eyes. Binoculars may reveal more detail, but they are not required for the planner.
Troubleshooting common situations
The recommendation is missing or too generic
Check that the location resolves to the place where you intend to be and that weather data can be reached. If a hosted model is unavailable, the deterministic narrator should provide a simpler response; a generic result may reflect that fallback rather than a failure of the weather or astronomy calculations.
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The sky list looks promising but you cannot see anything
Confirm the local time, facing direction and darkness relative to sunrise or sunset. Then account for cloud layers, haze, light pollution and obstructions. A calculated constellation position describes what is above the horizon in principle, not what is guaranteed to be visible from your exact viewpoint.
A cloud or database service is unavailable
The documented architecture provides local narration and SQLite fallbacks. Use the minimal path while the optional service is unavailable, or disable that integration in your deployment rather than treating a third-party outage as proof that the planner itself cannot work.
You want spoken guidance
ElevenLabs text-to-speech is an optional integration. If it is not configured, use the written recommendation; voice is an enhancement, not a prerequisite for the core window and sky explanation.
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Adding binoculars for brighter targets
Horizon does not require optical equipment, but binoculars can make the Moon, bright planets and prominent star fields easier to inspect. Celestron’s official page describes the SkyMaster 15x70mm Porro Binoculars as 15x binoculars with 70 mm objective lenses, intended to maximize image brightness in low-light and long-range conditions, and says the SkyMaster series is suitable for astronomical viewing. Those specifications belong to Celestron’s product page, not to Horizon.
Fifteen-times magnification narrows the field of view and magnifies hand shake, so a stable support can be useful. The 70 mm objectives gather more light than small general-purpose binoculars, but the instrument is larger and heavier. Check current price, stock and the exact model listing before buying; Horizon remains fully usable without binoculars.
Bottom line: when Horizon is the right tool
Choose Horizon when you want a local, concise answer to “When should I go outside today, and what might be in the sky?” Its value is the combination of local weather, astronomical calculations and a short recommendation rather than any single data source. The open-source, MIT-licensed design, local Gemma option and deterministic fallbacks reduce dependence on paid or hosted AI services, while optional voice, headlines, cloud storage and deployment integrations let you expand the setup when you need them.
Use the recommended block as a nudge, verify conditions that matter for your activity and then leave the screen behind. The planner’s intended outcome is not more time studying a dashboard; it is a clearer reason to step outside and look up.
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