POMATO
POMATO: A specialized, open-source model for electricity-market clearing and grid analysis. Ranked #33 of 63 in Energy Analytics Software by our editors (5.6/10); pricing: Free plan; best for researchers modeling electricity-market clearing.
At a glance
- Editor score5.6 / 10
- PricingFree plan
- Best forResearchers modeling electricity-market clearing
- Free planYes
- Paid fromFree
- Generation analyticsYes
- Facts checked29 Sep 2026
Where it wins
- Models zonal market clearing, flow-based coupling, and redispatch
- Includes nodal and zonal power-flow analysis, including N-0 and N-1
- Supports renewable curtailment, storage, and uncertainty modeling
Where it doesn't
- Requires local installation of Python and Julia
- Focused on electricity-market and grid studies rather than broad energy analytics
- The project is no longer actively developed
Our verdict on POMATO
POMATO (Power Market Tool) is an open-source Python and Julia application for modeling and analyzing electricity markets. It is aimed at researchers and practitioners studying market clearing, dispatch, and grid constraints. Users supply input data and choose a grid representation to calculate economic dispatch, then process and visualize the results. Its local installation and modeling focus suit technical work more than a general-purpose energy analytics workflow.
Its analytical scope covers several linked market and grid questions. POMATO supports zonal market clearing, flow-based market coupling, redispatch, and nodal or zonal power-flow representations, including N-0 and N-1. Renewable generation availability and curtailment can be modeled alongside electricity and heat storage. Chance-constrained optimization addresses renewable uncertainty and reserves. The tool also includes data input, processing, validation, and result analysis, making it relevant for studies that need to examine how market outcomes relate to network constraints and generation assumptions.
The project is free and open source, with self-hosted deployment on Windows and Linux. Its integrations include Python, Julia, JuMP, Clp.jl, ECOS, and Gurobi.jl. Those options fit users working in computational power-systems research, but the requirement to install Python and Julia means it is not a turnkey analytics service. A significant consideration is project status: the repository says POMATO is no longer actively developed, although its maintainer still keeps an eye on it. Researchers who need its specific market-clearing and grid-modeling capabilities may find the scope appropriate; teams seeking active development or broader, ready-to-use energy analytics should consider alternatives.
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POMATO pricing
POMATO fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Generation analytics | Yes |
| Grid analytics | Yes |
| Consumption analytics | Yes |
| Predictive asset analytics | No |
| Energy-market analytics | Yes |
| Deployment options | On_premises |
| Deployment | Self-hosted |
| Platforms | Windows, Linux |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: Python, Julia, JuMP, Clp.jl, ECOS, Gurobi.jl |
| Pricing | Free plan |
| Website | pomato.readthedocs.io |
| Facts checked | 29 Sep 2026 |
POMATO integrations
POMATO lists 6 integrations on its own site.
- Python
- Julia
- JuMP
- Clp.jl
- ECOS
- Gurobi.jl
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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