ToolMage
Connexion
codegate
Frameworks Agentiques · 636.1M visites mensuelles

Codegate est une passerelle de sécurité open-source et un framework de multiplexage pour les systèmes d'agents IA. Développé par Stacklok, il fournit des espaces de travail sécurisés et un contrôle d'accès basé sur des politiques, permettant aux développeurs de construire et de gérer des applications multi-agents complexes de manière sûre et efficace.

VS
ConnectOnion
Bibliothèques · 3.4K visites mensuelles

ConnectOnion est un framework Python minimaliste conçu pour créer des agents IA prêts pour la production avec beaucoup moins de code. Il simplifie la création d'agents en combinant des invites Markdown et des fonctions Python, réduisant le code répétitif jusqu'à 85 % par rapport à d'autres frameworks.

codegate vs ConnectOnion : prix, fonctions et trafic

Comparez codegate et ConnectOnion selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

codegate Aperçu du produit

Codegate est une passerelle de sécurité open-source et un framework de multiplexage pour les systèmes d'agents IA. Développé par Stacklok, il fournit des espaces de travail sécurisés et un contrôle d'accès basé sur des politiques, permettant aux développeurs de construire et de gérer des applications multi-agents complexes de manière sûre et efficace.

Preview

ConnectOnion Aperçu du produit

ConnectOnion est un framework Python minimaliste conçu pour créer des agents IA prêts pour la production avec beaucoup moins de code. Il simplifie la création d'agents en combinant des invites Markdown et des fonctions Python, réduisant le code répétitif jusqu'à 85 % par rapport à d'autres frameworks.

Preview

Detailed feature comparison

FeaturecodegateConnectOnion
Catégorie principaleFrameworks AgentiquesBibliothèques
Ajouté2025-08-162025-10-19
TarificationGratuitGratuit
Site officielgithub.comdocs.connectonion.com
Type de produitApplicationSite web
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles636.1M3.4K
Croissance mensuelle0.8%Non vérifié
Favoris108104
DetailsVoir les détailsVoir les détails

codegate vs ConnectOnion monthly traffic

Compare codegate and ConnectOnion by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the codegate vs ConnectOnion monthly traffic comparison, codegate currently shows 636.1M visits and ConnectOnion shows 3.4K; codegate has about 186,477.8 times the visible traffic of ConnectOnion, an absolute difference of about 636.1M visits. This reflects visible reach, not feature quality or paid users.

Only codegate has complete third-party traffic details; ConnectOnion uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

codegate is registered at the github.com/stacklok subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

codegate monthly traffic:

Latest traffic

Visites mensuelles
636.1M
Durée moyenne
6:23
Pages par visite
5.92
Taux de rebond
36.46%
Data updated 2026-06-11

Monthly traffic trend

  • 2026/1: 542.6M Visites mensuelles
  • 2026/2: 534.8M Visites mensuelles
  • 2026/3: 634.3M Visites mensuelles
  • 2026/4: 631M Visites mensuelles
  • 2026/5: 636.1M Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States36.14%229.9M
🇨🇳China22.96%146M
🇮🇳India17.41%110.7M
🇷🇺Russia15.84%100.8M
🇩🇪Germany7.65%48.7M

Sources de trafic

Source typePercentageTraffic
Direct82.14%522.5M
Référence16.14%102.7M
E-mail1.72%10.9M

Mots-clés

githubgithub copilothermes agentzapretзапрет

ConnectOnion monthly traffic:

Latest traffic

Visites mensuelles
3.4K
Traffic-based selection guidance: codegate is registered under a github.com subpath, so its large visible total may include the host platform. The current data does not justify choosing codegate for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Usage comparison

Compare the core capabilities of codegate and ConnectOnion

codegate Core features

Automatisation
Frameworks Agentiques
Sécurité

ConnectOnion Core features

Automatisation
Bibliothèques
Frameworks

Use cases

codegate Use cases

Agent IA
automatisation
Outils pour développeurs
Open source
Python
Cadre agentique
Sécurité de l'IA
DevSecOps
Kubernetes
passerelle de sécurité

ConnectOnion Use cases

Agent IA
automatisation
Outils pour développeurs
Open source
Python
Framework d'agents
Réduction du code boilerplate
cadre
Alternative à LangChain
Grand modèle linguistique

Best suited roles

codegate Best suited roles

Aucune donnée vérifiée

ConnectOnion Best suited roles

Ingénieur en IA
Ingénieur en automatisation
Scientifique de données
Ingénieur en Machine Learning
Développeur Python
Développeur de logiciels

codegate vs ConnectOnion:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth codegate vs ConnectOnion comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. codegate is primarily listed under “Frameworks Agentiques”, while ConnectOnion is primarily listed under “Bibliothèques”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (codegate: Frameworks Agentiques; ConnectOnion: Bibliothèques); Product type (codegate: App; ConnectOnion: Website); Monthly visits (codegate: 636.1M; ConnectOnion: 3.4K); Favorites (codegate: 108; ConnectOnion: 104); Website (codegate: github.com; ConnectOnion: docs.connectonion.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the codegate vs ConnectOnion monthly traffic comparison, codegate currently shows 636.1M visits and ConnectOnion shows 3.4K; codegate has about 186,477.8 times the visible traffic of ConnectOnion, an absolute difference of about 636.1M visits. This reflects visible reach, not feature quality or paid users.

Only codegate has complete third-party traffic details; ConnectOnion uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

codegate is registered at the github.com/stacklok subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

codegate is registered under a github.com subpath, so its large visible total may include the host platform. The current data does not justify choosing codegate for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Product positioning, use cases, and roles

codegate and ConnectOnion currently overlap in shared categories: Automatisation; shared tags: Agent IA, automatisation, Outils pour développeurs, Open source et Python. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

codegate's unique categories/tags are Frameworks Agentiques, Sécurité, Cadre agentique, Sécurité de l'IA, DevSecOps, Kubernetes et passerelle de sécurité; ConnectOnion's are Bibliothèques, Frameworks, Framework d'agents, Réduction du code boilerplate, cadre, Alternative à LangChain et Grand modèle linguistique. 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

codegate has no verified rating, 0 comments, 108 favorites, and 111 likes;ConnectOnion has no verified rating, 0 comments, 104 favorites, and 107 likes。

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

Selection guidance by actual need

When to evaluate codegate first

Put codegate on the priority trial list when the task aligns with “Frameworks Agentiques” and especially Frameworks Agentiques, Sécurité, Cadre agentique, Sécurité de l'IA, DevSecOps et Kubernetes. This follows recorded positioning and does not imply unlisted capabilities are absent.

codegate also currently records: pricing is free, product type is app, 636.1M monthly visits shown for the registered host (subpage scope unknown), 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 ConnectOnion first

Put ConnectOnion on the priority trial list when the task aligns with “Bibliothèques” and especially Bibliothèques, Frameworks, Framework d'agents, Réduction du code boilerplate, cadre et Alternative à LangChain, or the users include Ingénieur en IA, Ingénieur en automatisation, Scientifique de données et Ingénieur en Machine Learning. This follows recorded positioning and does not imply unlisted capabilities are absent.

ConnectOnion also currently records: pricing is free, product type is website, 3.4K on-site monthly views, 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 codegate and ConnectOnion, 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 codegate and ConnectOnion?
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.