codegate
主体的なフレームワーク · 636.1M 月間訪問数
Codegateは、AIエージェントシステム向けのオープンソースのセキュリティゲートウェイおよびマルチプレキシングフレームワークです。Stacklokによって開発され、安全なワークスペースとポリシーベースのアクセス制御を提供し、開発者が複雑なマルチエージェントアプリケーションを安全かつ効率的に構築・管理できるようにします。
製品概要
codegate 製品概要
Codegateは、AIエージェントシステム向けのオープンソースのセキュリティゲートウェイおよびマルチプレキシングフレームワークです。Stacklokによって開発され、安全なワークスペースとポリシーベースのアクセス制御を提供し、開発者が複雑なマルチエージェントアプリケーションを安全かつ効率的に構築・管理できるようにします。
Preview
DrugCard 製品概要
DrugCardは、ファーマコビジランス（医薬品安全性監視）向けに設計されたAI搭載のデータインテリジェンスプラットフォームです。地域の医学文献スクリーニングプロセスを自動化し、製薬会社、CRO、フリーランサーが多言語・多地域で医薬品の安全性と規制遵守を効率的に確保するのを支援します。
Preview
Detailed feature comparison
| Feature | codegate | DrugCard |
|---|---|---|
| 主要カテゴリー | 主体的なフレームワーク | 医薬品安全性監視 |
| 追加日 | 2025-08-16 | 2025-08-10 |
| 価格 | 無料 | 有料 |
| 公式サイト | github.com | drug-card.io |
| 製品タイプ | アプリ | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 636.1M | 5.6K |
| 月間成長率 | 0.8% | 51.1% |
| お気に入り | 108 | 132 |
| Details | 詳細を見る | 詳細を見る |
codegate vs DrugCard monthly traffic
Compare codegate and DrugCard by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the codegate vs DrugCard monthly traffic comparison, codegate currently shows 636.1M visits and DrugCard shows 5.6K; codegate has about 113,971.7 times the visible traffic of DrugCard, an absolute difference of about 636.1M 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.
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
月間訪問数
636.1M
平均滞在時間
6:23
訪問あたりページ数
5.92
直帰率
36.46%
Data updated 2026-06-11
Monthly traffic trend
- 2026/1: 542.6M 月間訪問数
- 2026/2: 534.8M 月間訪問数
- 2026/3: 634.3M 月間訪問数
- 2026/4: 631M 月間訪問数
- 2026/5: 636.1M 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 36.14% | 229.9M |
| 🇨🇳China | 22.96% | 146M |
| 🇮🇳India | 17.41% | 110.7M |
| 🇷🇺Russia | 15.84% | 100.8M |
| 🇩🇪Germany | 7.65% | 48.7M |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 82.14% | 522.5M |
| 参照元 | 16.14% | 102.7M |
| Eメール | 1.72% | 10.9M |
検索キーワード
githubgithub copilothermes agentzapretзапрет
DrugCard monthly traffic:
Latest traffic
月間訪問数
5.6K
平均滞在時間
0:14
訪問あたりページ数
1.82
直帰率
38.06%
Data updated 2026-06-11
Monthly traffic trend
- 2025/9: 6.8K 月間訪問数
- 2026/1: 4.1K 月間訪問数
- 2026/2: 5.5K 月間訪問数
- 2026/3: 5.2K 月間訪問数
- 2026/4: 3.7K 月間訪問数
- 2026/5: 5.6K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 69.05% | 3.9K |
| 🇮🇳India | 17.3% | 966 |
| 🇭🇺Hungary | 8.29% | 463 |
| 🇵🇱Poland | 3.6% | 201 |
| 🇮🇪Ireland | 1.76% | 98 |
検索キーワード
can you be allergic to siliconedrugcardsilicone allergysymptons of allergy to silicone catheterwhat medicines drugs side affect gambling addiction
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 DrugCard
codegate Core features
自動化
主体的なフレームワーク
セキュリティ
DrugCard Core features
自動化
医薬品安全性監視
Use cases
codegate Use cases
自動化
主体的なフレームワーク
AIエージェント
AIセキュリティ
開発者ツール
DevSecOps
Kubernetes
オープンソース
Python
セキュリティゲートウェイ
DrugCard Use cases
自動化
製薬AI
CRO ツール
データインテリジェンス
医薬品安全性
医療AI
医療文献スクリーニング
医薬品安全性監視
規制遵守
codegate vs DrugCard：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth codegate vs DrugCard comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. codegate is primarily listed under “主体的なフレームワーク”, while DrugCard is primarily listed under “医薬品安全性監視”, 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: 主体的なフレームワーク; DrugCard: 医薬品安全性監視); Product type (codegate: App; DrugCard: Website); Pricing (codegate: Free; DrugCard: Paid); Monthly visits (codegate: 636.1M; DrugCard: 5.6K); Monthly growth (codegate: 0.8%; DrugCard: 51.1%). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the codegate vs DrugCard monthly traffic comparison, codegate currently shows 636.1M visits and DrugCard shows 5.6K; codegate has about 113,971.7 times the visible traffic of DrugCard, an absolute difference of about 636.1M 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.
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 DrugCard currently overlap in shared categories: 自動化; shared tags: 自動化. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
codegate's unique categories/tags are 主体的なフレームワーク、セキュリティ、AIエージェント、AIセキュリティ、開発者ツール、DevSecOps、Kubernetes、オープンソース; DrugCard's are 医薬品安全性監視、製薬AI、CRO ツール、データインテリジェンス、医薬品安全性、医療AI、医療文献スクリーニング、規制遵守. 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；DrugCard has no verified rating, 0 comments, 132 favorites, and 138 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 “主体的なフレームワーク” and especially 主体的なフレームワーク、セキュリティ、AIエージェント、AIセキュリティ、開発者ツール、DevSecOps. 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 DrugCard first
Put DrugCard on the priority trial list when the task aligns with “医薬品安全性監視” and especially 医薬品安全性監視、製薬AI、CRO ツール、データインテリジェンス、医薬品安全性、医療AI. This follows recorded positioning and does not imply unlisted capabilities are absent.
DrugCard also currently records: pricing is paid, product type is website, 5.6K 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.
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 DrugCard, 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.
比較 FAQ
How should I choose between codegate and DrugCard?
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.