marimo est un notebook Python réactif et open-source pour la science des données et l'IA modernes. Il offre un environnement reproductible, compatible avec Git et interactif où les notebooks sont de purs scripts Python. Les fonctionnalités incluent une assistance IA intégrée, des cellules SQL et la possibilité de partager des notebooks en tant qu'applications web, rationalisant le flux de travail de l'expérimentation à la production.
Streamlit est un framework Python open-source qui permet aux développeurs et aux data scientists de créer et de partager de superbes applications web personnalisées pour le machine learning et la data science en quelques minutes. Le Streamlit Community Cloud fournit une plateforme gratuite pour déployer, gérer et partager ces applications publiques avec le monde entier, favorisant un environnement collaboratif pour l'innovation.
marimo est un notebook Python réactif et open-source pour la science des données et l'IA modernes. Il offre un environnement reproductible, compatible avec Git et interactif où les notebooks sont de purs scripts Python. Les fonctionnalités incluent une assistance IA intégrée, des cellules SQL et la possibilité de partager des notebooks en tant qu'applications web, rationalisant le flux de travail de l'expérimentation à la production.
Streamlit est un framework Python open-source qui permet aux développeurs et aux data scientists de créer et de partager de superbes applications web personnalisées pour le machine learning et la data science en quelques minutes. Le Streamlit Community Cloud fournit une plateforme gratuite pour déployer, gérer et partager ces applications publiques avec le monde entier, favorisant un environnement collaboratif pour l'innovation.
| Feature | marimo | Streamlit |
|---|---|---|
| Catégorie principale | Visualisation de Données | Visualisation de Données |
| Ajouté | 2025-08-02 | 2025-08-17 |
| Tarification | Freemium | Freemium |
| Site officiel | marimo.io | share.streamlit.io |
| Type de produit | Site web | Site web |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 156.6K | 918.5K |
| Croissance mensuelle | -8.4% | 6.5% |
| Favoris | 97 | 125 |
| Details | Voir les détails | Voir les détails |
Compare marimo and Streamlit by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the marimo vs Streamlit monthly traffic comparison, marimo currently shows 156.6K visits and Streamlit shows 918.5K; Streamlit has about 5.9 times the visible traffic of marimo, an absolute difference of about 761.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 41.19% | 64.5K |
| 🇩🇪Germany | 28.12% | 44K |
| 🇨🇦Canada | 13.42% | 21K |
| 🇰🇷Korea, Republic of | 8.79% | 13.8K |
| 🇬🇧United Kingdom | 8.48% | 13.3K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 70.5% | 110.4K |
| Référence | 27.55% | 43.1K |
| 1.95% | 3.1K |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.68% | 410.4K |
| 🇮🇳India | 25.68% | 235.9K |
| 🇰🇷Korea, Republic of | 12.59% | 115.6K |
| 🇬🇧United Kingdom | 8.9% | 81.7K |
| 🇵🇰Pakistan | 8.15% | 74.9K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 57.82% | 531.1K |
| Référence | 40.37% | 370.8K |
| 1.81% | 16.6K |
This in-depth marimo vs Streamlit comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. marimo is primarily listed under “Visualisation de Données”, while Streamlit is primarily listed under “Visualisation de Données”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (marimo: 156.6K; Streamlit: 918.5K); Monthly growth (marimo: -8.4%; Streamlit: 6.5%); Favorites (marimo: 97; Streamlit: 125); Website (marimo: marimo.io; Streamlit: share.streamlit.io); Added (marimo: 2025-08-02; Streamlit: 2025-08-17). These facts are more useful for selection than brand visibility alone.
In the marimo vs Streamlit monthly traffic comparison, marimo currently shows 156.6K visits and Streamlit shows 918.5K; Streamlit has about 5.9 times the visible traffic of marimo, an absolute difference of about 761.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Streamlit first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
marimo and Streamlit currently overlap in shared categories: Visualisation de Données; shared tags: science des données, visualisation de données, Outils pour développeurs, apprentissage automatique, Open source et Python. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
marimo's unique categories/tags are Notebook, Développement, Développement de l'IA, Alternative à Jupyter, Programmation réactive et SQL; Streamlit's are Low-code No-code, Créateur d'applications, Tableau de bord et application web. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
marimo has no verified rating, 0 comments, 97 favorites, and 101 likes；Streamlit has no verified rating, 0 comments, 125 favorites, and 125 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put marimo on the priority trial list when the task aligns with “Visualisation de Données” and especially Notebook, Développement, Développement de l'IA, Alternative à Jupyter, Programmation réactive et SQL. This follows recorded positioning and does not imply unlisted capabilities are absent.
marimo also currently records: pricing is freemium, product type is website, 156.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Streamlit on the priority trial list when the task aligns with “Visualisation de Données” and especially Low-code No-code, Créateur d'applications, Tableau de bord et application web. This follows recorded positioning and does not imply unlisted capabilities are absent.
Streamlit also currently records: pricing is freemium, product type is website, 918.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in marimo and Streamlit, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
