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Langflow
Low-code No-code · 243.6K visites mensuelles

Langflow est une interface utilisateur visuelle open-source pour créer et déployer des applications d'IA. Elle dispose d'une interface glisser-déposer pour enchaîner les LLM, les agents et les outils, permettant un prototypage et un déploiement rapides de flux de travail complexes comme les systèmes RAG et multi-agents. Elle prend en charge de nombreuses intégrations et offre des options auto-hébergées et cloud.

VS
OpenServ
Frameworks · 15.9K visites mensuelles

OpenServ est une plateforme complète pour les développeurs afin de construire, déployer et monétiser rapidement des applications d'IA décentralisées et multi-agents (aApps). Elle combine un SDK flexible, un canevas d'orchestration low-code et un écosystème économique basé sur le Web3 pour accélérer le passage de l'idée au produit générateur de revenus.

Langflow vs OpenServ : prix, fonctions et trafic

Comparez Langflow et OpenServ selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Langflow Aperçu du produit

Langflow est une interface utilisateur visuelle open-source pour créer et déployer des applications d'IA. Elle dispose d'une interface glisser-déposer pour enchaîner les LLM, les agents et les outils, permettant un prototypage et un déploiement rapides de flux de travail complexes comme les systèmes RAG et multi-agents. Elle prend en charge de nombreuses intégrations et offre des options auto-hébergées et cloud.

Preview

OpenServ Aperçu du produit

OpenServ est une plateforme complète pour les développeurs afin de construire, déployer et monétiser rapidement des applications d'IA décentralisées et multi-agents (aApps). Elle combine un SDK flexible, un canevas d'orchestration low-code et un écosystème économique basé sur le Web3 pour accélérer le passage de l'idée au produit générateur de revenus.

Preview

Detailed feature comparison

FeatureLangflowOpenServ
Catégorie principaleLow-code No-codeFrameworks
Ajouté2025-08-142025-08-09
TarificationFreemiumNon vérifié
Site officielwww.langflow.orgwww.openserv.ai
Type de produitSite webSite web
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles243.6K15.9K
Croissance mensuelle6.2%126.8%
Favoris69113
DetailsVoir les détailsVoir les détails

Langflow vs OpenServ monthly traffic

Compare Langflow and OpenServ by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Langflow vs OpenServ monthly traffic comparison, Langflow currently shows 243.6K visits and OpenServ shows 15.9K; Langflow has about 15.4 times the visible traffic of OpenServ, an absolute difference of about 227.8K 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.

Langflow monthly traffic:

Latest traffic

Visites mensuelles
243.6K
Durée moyenne
1:09
Pages par visite
1.95
Taux de rebond
44.67%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 454.9K Visites mensuelles
  • 2026/1: 269.8K Visites mensuelles
  • 2026/2: 226.5K Visites mensuelles
  • 2026/3: 239.5K Visites mensuelles
  • 2026/4: 229.4K Visites mensuelles
  • 2026/5: 243.6K Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇨🇳China42.24%102.9K
🇮🇳India18.05%44K
🇺🇸United States16.88%41.1K
🇮🇩Indonesia16.72%40.7K
🇬🇧United Kingdom6.11%14.9K

Sources de trafic

Source typePercentageTraffic
Direct78.32%190.8K
Référence20.42%49.7K
E-mail1.26%3.1K

Mots-clés

composiolangflowlangfuseopenrouterpdf to markdown

OpenServ monthly traffic:

Latest traffic

Visites mensuelles
15.9K
Durée moyenne
2:47
Pages par visite
3.71
Taux de rebond
41.38%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 4.9K Visites mensuelles
  • 2026/1: 7.2K Visites mensuelles
  • 2026/2: 6.3K Visites mensuelles
  • 2026/3: 19.1K Visites mensuelles
  • 2026/4: 7K Visites mensuelles
  • 2026/5: 15.9K Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇩🇪Germany55.75%8.8K
🇺🇸United States32.73%5.2K
🇲🇾Malaysia6.07%962
🇹🇷Turkey5.45%864

Sources de trafic

Source typePercentageTraffic
Direct99.51%15.8K
Référence0.49%78

Mots-clés

openservopenserv aiopenserv.aiopenserv reasoningserv reasoning
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Langflow 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.

Usage comparison

Compare the core capabilities of Langflow and OpenServ

Langflow Core features

Low-code No-code
Automatisation des Flux de Travail

OpenServ Core features

Low-code No-code
Frameworks
Applications Décentralisées

Use cases

Langflow Use cases

Agent IA
low-code
Systèmes multi-agents
API
Outils pour développeurs
Grand modèle linguistique
No-code
Open source
Génération Augmentée par Récupération
Constructeur visuel
automatisation des flux de travail

OpenServ Use cases

Agent IA
low-code
Systèmes multi-agents
Applications agentiques
blockchain
DApp
IA décentralisée
plateforme de développement
SDK
Tokenomics
Web3

Langflow vs OpenServ:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Langflow vs OpenServ comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Langflow is primarily listed under “Low-code No-code”, while OpenServ is primarily listed under “Frameworks”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Langflow: Low-code No-code; OpenServ: Frameworks); Pricing (Langflow: Freemium; OpenServ: Not disclosed); Monthly visits (Langflow: 243.6K; OpenServ: 15.9K); Monthly growth (Langflow: 6.2%; OpenServ: 126.8%); Favorites (Langflow: 69; OpenServ: 113). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Langflow vs OpenServ monthly traffic comparison, Langflow currently shows 243.6K visits and OpenServ shows 15.9K; Langflow has about 15.4 times the visible traffic of OpenServ, an absolute difference of about 227.8K 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 Langflow 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.

Product positioning, use cases, and roles

Langflow and OpenServ currently overlap in shared categories: Low-code No-code; shared tags: Agent IA, low-code et Systèmes multi-agents. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Langflow's unique categories/tags are Automatisation des Flux de Travail, API, Outils pour développeurs, Grand modèle linguistique, No-code, Open source, Génération Augmentée par Récupération et Constructeur visuel; OpenServ's are Frameworks, Applications Décentralisées, Applications agentiques, blockchain, DApp, IA décentralisée, plateforme de développement et SDK. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Langflow has no verified rating, 0 comments, 69 favorites, and 77 likes;OpenServ has no verified rating, 0 comments, 113 favorites, and 117 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Langflow first

Put Langflow on the priority trial list when the task aligns with “Low-code No-code” and especially Automatisation des Flux de Travail, API, Outils pour développeurs, Grand modèle linguistique, No-code et Open source. This follows recorded positioning and does not imply unlisted capabilities are absent.

Langflow also currently records: pricing is freemium, product type is website, 243.6K 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.

When to evaluate OpenServ first

Put OpenServ on the priority trial list when the task aligns with “Frameworks” and especially Frameworks, Applications Décentralisées, Applications agentiques, blockchain, DApp et IA décentralisée. This follows recorded positioning and does not imply unlisted capabilities are absent.

OpenServ also currently records: pricing is not verified, product type is website, 15.9K 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.

How to validate the recommendation before deciding

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 Langflow and OpenServ, 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.

FAQ comparative

How should I choose between Langflow and OpenServ?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.