# idealo — developer ecosystem report

> idealo's technology org page, Germany's largest price comparison service. Visit us at https://jobs.idealo.com.

- GitHub org: `idealo`
- Category: ai
- Overall score: 38.0 / 100
- Overall rank: #511
- Last refreshed: 2026-08-14

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 58.0 | #261 | ~22% |
| Education | 49.0 | #786 | ~18% |
| AI readiness | 9.0 | #879 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 36.0 | #427 | ~16% |
| Reach | 64.0 | #126 | ~18% |
| Momentum | 31.0 | #480 | ~14% |

## Links

- GitHub: https://github.com/idealo
- Website: https://jobs.idealo.com
- Docs: https://jobs.idealo.com/docs

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 14,069 |
| Forks | 2,158 |
| Open issues | 339 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [imagededup](https://github.com/idealo/imagededup) | 5,664 | Python | 😎 Finding duplicate images made easy! |
| [image-super-resolution](https://github.com/idealo/image-super-resolution) | 4,816 | Python | 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. |
| [image-quality-assessment](https://github.com/idealo/image-quality-assessment) | 2,243 | Python | Convolutional Neural Networks to predict the aesthetic and technical quality of images. |
| [imageatm](https://github.com/idealo/imageatm) | 217 | Python | Image classification for everyone. |
| [mongodb-slow-operations-profiler](https://github.com/idealo/mongodb-slow-operations-profiler) | 209 | Java | This java web application collects slow operations from one or multiple mongoDB system(s) in order to visualize and anal |
| [cnn-exposed](https://github.com/idealo/cnn-exposed) | 174 | Jupyter Notebook | 🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results. |
| [mongodb-performance-test](https://github.com/idealo/mongodb-performance-test) | 95 | Java | multithreaded test tool to test mongodb performances, such as throughput and latency |
| [php-rdkafka-ffi](https://github.com/idealo/php-rdkafka-ffi) | 82 | PHP | PHP Kafka client - binding librdkafka via FFI |
| [terraform-aws-opensearch](https://github.com/idealo/terraform-aws-opensearch) | 69 | HCL | Terraform module to provision an OpenSearch cluster with SAML authentication. |
| [nvidia-docker-keras](https://github.com/idealo/nvidia-docker-keras) | 60 | Python | Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs |
| [falcon-prediction-app](https://github.com/idealo/falcon-prediction-app) | 51 | Jupyter Notebook | Simple Machine Learning Web API Example with Falcon |
| [terraform-emr-pyspark](https://github.com/idealo/terraform-emr-pyspark) | 48 | HCL | Quickstart PySpark with Anaconda on AWS/EMR using Terraform |

## 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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