# Postman vs SuperAnnotate

Postman enregistre 1 764 877 visites mensuelles avec une croissance mensuelle de -7,6 % et un modèle tarifaire Freemium. SuperAnnotate enregistre 386 034 visites mensuelles avec une croissance de +37,4 % et un modèle tarifaire Essai gratuit, Tarifs sur demande.

| Métrique | [Postman](https://openaitools.app/fr/tool/postman) | [SuperAnnotate](https://openaitools.app/fr/tool/super-annotate) |
| :--- | :--- | :--- |
| URL du site web | https://www.postman.com | https://www.superannotate.com |
| Catégories | Outils de développement IA, AI API, AI Agent, AI Workflow | AI Workflow, Outils de développement IA, Gestion de projet IA |
| Modèle tarifaire | Freemium | Essai gratuit, Tarifs sur demande |
| Visites mensuelles | 1 764 877 | 386 034 |
| Taux de croissance mensuel | -7,6 % | +37,4 % |
| Marché principal | Inde | États-Unis |
| Visites directes | 580 232 | 248 258 |
| Score d'avis | 4,7 | 4,6 |
| Nombre d'enregistrements | 0 | 0 |
| Plateformes prises en charge | Site web | Site web |

## Postman

Postman is an API platform that covers the whole API lifecycle, from designing and testing endpoints to documenting, monitoring, and governing them at scale. Its newer agent-focused features let coding assistants and AI agents run collections, generate tests, mock endpoints, and query a structured Context Graph of your organization's APIs, so automation stays grounded in how your APIs actually behave.

**Tarifs et offres:** Freemium. Free for individuals with 50 AI credits per month and core client tools. Solo around $9 per month billed annually (400 AI credits per month, data-driven testing, custom branding, expanded monitoring). Team around $19 per user per month billed annually (collaboration, viewer seats, basic RBAC, 400 AI credits per user). Enterprise is contact-sales and adds API Catalog, governance, advanced RBAC, audit logs, and pooled credits. AI credit overages and cloud performance testing are billed as usage add-ons.

- **API client and collections:** A multi-protocol client with collections, environments, variables, and reusable requests that works for local debugging and for driving automated test suites.
- **Automated testing and Collection Runner:** Generates assertions automatically, supports data-driven runs with exported datasets, and executes tests locally, in the cloud, or from CI pipelines via the Postman CLI.
- **AI agents and MCP server:** Agent Mode, the Postman CLI agent skills, and a Model Context Protocol server let coding assistants build collections, write tests, and trigger API workflows from inside the editor.
- **Context Graph:** A structured, queryable map of an organization's APIs, collections, and dependencies that lets agents find the right service and understand what a schema change would break.
- **Governance and enterprise controls:** API Catalog, Insights, RBAC with SSO/SAML and SCIM, secret scanning, and audit logs help large organizations standardize and secure API usage across teams.

**Forces:** Covers the full API lifecycle in one tool instead of stitching together several products; Strong AI story with Agent Mode, installable agent skills, an MCP server, and a Context Graph; Free plan is genuinely usable and paid tiers are comparatively affordable; Very large community, extensive docs, and integrations across CI, Git, and identity providers

**Limites:** The desktop app is resource-heavy and can feel slow on older machines; Many advanced capabilities (API Catalog, advanced RBAC, governance, SSO/SCIM) sit behind Enterprise pricing; AI credits and Context Graph API queries are metered, so heavy agent use adds pay-as-you-go cost; The breadth of features, workspaces, and roles means teams need onboarding time before they are productive

[Profile (Markdown)](https://openaitools.app/fr/tool/postman.md)

## SuperAnnotate

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.

**Tarifs et offres:** SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

- **Customizable multimodal editor:** One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
- **Data curation and exploration:** Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
- **Analytics and insights:** Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
- **Compute orchestration:** Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.
- **Managed Data Operations:** Optional access to SuperAnnotate's own annotation experts and AI DataOps consultants to run large or specialized data programs end to end.

**Forces:** Unified editor removes the need to maintain separate tools per modality; Rich project management and quality analytics suited to large distributed teams; Enterprise-grade governance features such as SSO and dedicated support channels; Managed data-operations services let you outsource complex or high-volume programs

**Limites:** No public list price, so budgeting requires a sales conversation; Advanced analytics, SSO, and dedicated support are locked to higher tiers; The breadth of features can be heavy for individuals or very small teams; Compute orchestration capacity is metered and may require planning for large jobs

[Profile (Markdown)](https://openaitools.app/fr/tool/super-annotate.md)

## Questions fréquentes

### Comment Postman et SuperAnnotate se comparent-ils en termes de trafic mensuel ?

Postman enregistre 1 764 877 visites mensuelles, tandis que SuperAnnotate enregistre 386 034. Les estimations de trafic décrivent la taille de l'audience, pas la qualité du produit.

### Comment leurs taux de croissance se comparent-ils ?

Postman a un taux de croissance mensuel de -7,6 % ; SuperAnnotate a +37,4 %.

### Comment les tarifs se comparent-ils ?

Postman : Freemium. Freemium. Free for individuals with 50 AI credits per month and core client tools. Solo around $9 per month billed annually (400 AI credits per month, data-driven testing, custom branding, expanded monitoring). Team around $19 per user per month billed annually (collaboration, viewer seats, basic RBAC, 400 AI credits per user). Enterprise is contact-sales and adds API Catalog, governance, advanced RBAC, audit logs, and pooled credits. AI credit overages and cloud performance testing are billed as usage add-ons. SuperAnnotate : Essai gratuit, Tarifs sur demande. SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

## Alternatives

| # | Nom de l'outil | Visites mensuelles | Taux de croissance mensuel | Modèle tarifaire | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [VS Code](https://openaitools.app/fr/tool/vs-code) | 7 397 370 | -3,8 % | Freemium | Intègre les tests et le développement d'API directement dans votre éditeur de code, mais manque de la gestion dédiée des collections d'espaces de travail et de la publication de documentation de Postman. | [.md](https://openaitools.app/fr/tool/vs-code.md) |
| 2 | [Qoder](https://openaitools.app/fr/tool/qoder) | 5 145 040 | +81,8 % | Freemium, Essai gratuit, Gratuit | Exelle dans la génération de code multi-fichiers autonome et la compréhension à l'échelle du dépôt, mais n'est pas conçu spécifiquement pour les tests de points de terminaison d'API manuels. | [.md](https://openaitools.app/fr/tool/qoder.md) |
| 3 | [n8n](https://openaitools.app/fr/tool/n8n) | 4 522 449 | -7,4 % | Freemium | Puissant générateur d'automatisation de flux de travail visuels et d'intégration d'API, mais manque des fonctions d'inspection et de documentation détaillées des requêtes API de Postman. | [.md](https://openaitools.app/fr/tool/n8n.md) |
| 4 | [T3 Code](https://openaitools.app/fr/tool/t3-code) | 1 071 866 | +52,5 % | Gratuit | Plan de contrôle open source pour orchestrer les agents de codage | [.md](https://openaitools.app/fr/tool/t3-code.md) |
| 5 | [KaneAI](https://openaitools.app/fr/tool/kaneai) | 901 340 | +13,2 % | Freemium, Payant, Tarifs sur demande | Automates end-to-end testing using plain language agents, but lacks Postman's manual debugging and environment variable management tools. | [.md](https://openaitools.app/fr/tool/kaneai.md) |
| 6 | [Labelbox](https://openaitools.app/fr/tool/labelbox) | 762 803 | -22,8 % | Tarifs sur demande | Solide étiquetage de données d'entreprise et automatisation d'agents, mais avec une interface collaborative et une tarification distinctes. | [.md](https://openaitools.app/fr/tool/labelbox.md) |
| 7 | [Appen](https://openaitools.app/fr/tool/appen-com) | 665 840 | +0,2 % | Tarifs sur demande | Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility. | [.md](https://openaitools.app/fr/tool/appen-com.md) |
| 8 | [Qase](https://openaitools.app/fr/tool/qase) | 319 213 | -25,5 % | Freemium, Essai gratuit, Tarifs sur demande, Gratuit | Offre une gestion supérieure des cas de test et une intégration CI pour les flux QA, mais manque d'outils natifs de création et de simulation d'API. | [.md](https://openaitools.app/fr/tool/qase.md) |
| 9 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/fr/tool/prompts) | 315 624 | -80,2 % | Freemium, Tarifs sur demande, Gratuit | Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments. | [.md](https://openaitools.app/fr/tool/prompts.md) |
| 10 | [Encord](https://openaitools.app/fr/tool/encord-com) | 244 204 | +9,4 % | Tarifs sur demande | Excellente infrastructure de données multimodales pour la vision par ordinateur, mais il lui manque certains outils de gestion de projets d'entreprise de SuperAnnotate. | [.md](https://openaitools.app/fr/tool/encord-com.md) |

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Source : https://openaitools.app/fr/compare/postman-vs-super-annotate

More Markdown: [Catégories](https://openaitools.app/fr/categories.md) · [Classements de trafic](https://openaitools.app/fr/rankings.md) · [llms.txt](https://openaitools.app/fr/llms.txt)