# ServiceNow — developer ecosystem report

> Works for you™

- GitHub org: `ServiceNow`
- Category: ai
- Overall score: 55.0 / 100
- Overall rank: #137
- Last refreshed: 2026-08-19

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 58.0 | #261 | ~22% |
| Education | 73.0 | #239 | ~18% |
| AI readiness | 21.0 | #576 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 65.0 | #28 | ~16% |
| Reach | 77.0 | #42 | ~18% |
| Momentum | 42.0 | #320 | ~14% |

## Links

- GitHub: https://github.com/ServiceNow
- Website: https://www.servicenow.com
- Docs: https://docs.servicenow.com

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 7,946 |
| Forks | 26,724 |
| Open issues | 690 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [BrowserGym](https://github.com/ServiceNow/BrowserGym) | 1,325 | Python | 🌎💪 BrowserGym, a Gym environment for web task automation |
| [AgentLab](https://github.com/ServiceNow/AgentLab) | 624 | Python | AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for s |
| [N-BEATS](https://github.com/ServiceNow/N-BEATS) | 612 | Python | N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project  |
| [ServiceNowDocs](https://github.com/ServiceNow/ServiceNowDocs) | 449 | — | ServiceNow AI Platform documentation for LLM consumption. |
| [PipelineRL](https://github.com/ServiceNow/PipelineRL) | 433 | Python | A scalable asynchronous reinforcement learning implementation with in-flight weight updates. |
| [picard](https://github.com/ServiceNow/picard) | 377 | Haskell | PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Res |
| [Fast-LLM](https://github.com/ServiceNow/Fast-LLM) | 333 | Python | Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research |
| [TapeAgents](https://github.com/ServiceNow/TapeAgents) | 318 | Python | TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle |
| [HighRes-net](https://github.com/ServiceNow/HighRes-net) | 289 | Jupyter Notebook | Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the Euro |
| [WorkArena](https://github.com/ServiceNow/WorkArena) | 267 | Python | WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? |
| [embedding-propagation](https://github.com/ServiceNow/embedding-propagation) | 212 | Python | Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project |
| [eva](https://github.com/ServiceNow/eva) | 196 | Python | A New End-to-end Framework for Evaluating Voice Agents |

## Methodology

Scores are computed from public signals only (GitHub, package registries, docs sites, community platforms). Pillar definitions: https://www.smoower.com/docs.md

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