Baidu Comate
コード生成 · 1.4M 月間訪問数
Baidu Comateは、Baiduの文心（Wenxin）大規模言語モデルを搭載したインテリジェントなAIコードアシスタントです。VS CodeやJetBrainsなどのIDEにシームレスに統合され、リアルタイムのコード補完、自然言語からのコード生成、バグ修正、単体テスト作成を提供し、開発者の生産性を大幅に向上させます。
製品概要
Baidu Comate 製品概要
Baidu Comateは、Baiduの文心（Wenxin）大規模言語モデルを搭載したインテリジェントなAIコードアシスタントです。VS CodeやJetBrainsなどのIDEにシームレスに統合され、リアルタイムのコード補完、自然言語からのコード生成、バグ修正、単体テスト作成を提供し、開発者の生産性を大幅に向上させます。
Preview
CodeGeeX 製品概要
CodeGeeXは、開発者の生産性を向上させるために設計された、強力で無料のAI搭載コーディングアシスタントです。インテリジェントなコード生成と補完、複数言語間のコード翻訳、自動コメント生成、対話型のQ&A機能を提供し、すべてがお気に入りのIDEにシームレスに統合されます。
Preview
Detailed feature comparison
| Feature | Baidu Comate | CodeGeeX |
|---|---|---|
| 主要カテゴリー | コード生成 | コード生成 |
| 追加日 | 2025-08-02 | 2025-08-13 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | comate.baidu.com | codegeex.cn |
| 製品タイプ | ブラウザ拡張 | ブラウザ拡張 |
| 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 | 1.4M | 88.8K |
| 月間成長率 | -20.5% | -0.6% |
| お気に入り | 128 | 119 |
| Details | 詳細を見る | 詳細を見る |
Baidu Comate vs CodeGeeX monthly traffic
Compare Baidu Comate and CodeGeeX by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Baidu Comate vs CodeGeeX monthly traffic comparison, Baidu Comate currently shows 1.4M visits and CodeGeeX shows 88.8K; Baidu Comate has about 15.2 times the visible traffic of CodeGeeX, an absolute difference of about 1.3M 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.
Baidu Comate monthly traffic:
Latest traffic
月間訪問数
1.4M
平均滞在時間
1:03
訪問あたりページ数
1.32
直帰率
83.88%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 180.8K 月間訪問数
- 2026/1: 2.4M 月間訪問数
- 2026/2: 1.7M 月間訪問数
- 2026/3: 2M 月間訪問数
- 2026/4: 1.7M 月間訪問数
- 2026/5: 1.4M 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇨🇳China | 92.07% | 1.2M |
| 🇹🇼Taiwan | 3.17% | 42.9K |
| 🇭🇰Hong Kong | 2.1% | 28.4K |
| 🇺🇸United States | 1.96% | 26.5K |
| 🇯🇵Japan | 0.7% | 9.5K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 67.72% | 916.1K |
| 参照元 | 32% | 432.9K |
| Eメール | 0.28% | 3.8K |
検索キーワード
ccomatejava 文件查重向量方式window 磁盘文件大小工具文心快码
CodeGeeX monthly traffic:
Latest traffic
月間訪問数
88.8K
平均滞在時間
1:32
訪問あたりページ数
2.99
直帰率
34.86%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 100.7K 月間訪問数
- 2026/1: 73.4K 月間訪問数
- 2026/2: 61.2K 月間訪問数
- 2026/3: 103.3K 月間訪問数
- 2026/4: 89.3K 月間訪問数
- 2026/5: 88.8K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇨🇳China | 89.95% | 79.9K |
| 🇺🇸United States | 3.77% | 3.3K |
| 🇭🇰Hong Kong | 2.52% | 2.2K |
| 🇮🇳India | 2.32% | 2.1K |
| 🇸🇬Singapore | 1.44% | 1.3K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 74.12% | 65.8K |
| 参照元 | 25.88% | 23K |
検索キーワード
codegcodegeexcodegeexcodegeex 官网codeseex
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Baidu Comate 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 Baidu Comate and CodeGeeX
Baidu Comate Core features
コードアシスタント
コード生成
開発者
CodeGeeX Core features
コードアシスタント
コード生成
自動化
Use cases
Baidu Comate Use cases
AIペアプログラマー
コードアシスタント
コード補完
コード生成
開発者ツール
JetBrains プラグイン
VS Code 拡張機能
バイドゥ
デバッグ
リファクタリング
文心
CodeGeeX Use cases
AIペアプログラマー
コードアシスタント
コード補完
コード生成
開発者ツール
JetBrains プラグイン
VS Code 拡張機能
コード翻訳
オープンソース
Zhipu AI
Baidu Comate vs CodeGeeX：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Baidu Comate vs CodeGeeX comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Baidu Comate is primarily listed under “コード生成”, while CodeGeeX is primarily listed under “コード生成”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Baidu Comate: コード生成; CodeGeeX: コード生成); Monthly visits (Baidu Comate: 1.4M; CodeGeeX: 88.8K); Monthly growth (Baidu Comate: -20.5%; CodeGeeX: -0.6%); Favorites (Baidu Comate: 128; CodeGeeX: 119); Website (Baidu Comate: comate.baidu.com; CodeGeeX: codegeex.cn). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Baidu Comate vs CodeGeeX monthly traffic comparison, Baidu Comate currently shows 1.4M visits and CodeGeeX shows 88.8K; Baidu Comate has about 15.2 times the visible traffic of CodeGeeX, an absolute difference of about 1.3M 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 Baidu Comate 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
Baidu Comate and CodeGeeX currently overlap in shared categories: コードアシスタント; shared tags: AIペアプログラマー、コードアシスタント、コード補完、コード生成、開発者ツール、JetBrains プラグイン、VS Code 拡張機能. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Baidu Comate's unique categories/tags are コード生成、開発者、バイドゥ、デバッグ、リファクタリング、文心; CodeGeeX's are コード生成、自動化、コード翻訳、オープンソース、Zhipu AI. 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
Baidu Comate has no verified rating, 0 comments, 128 favorites, and 120 likes；CodeGeeX has no verified rating, 0 comments, 119 favorites, and 115 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Baidu Comate first
Put Baidu Comate on the priority trial list when the task aligns with “コード生成” and especially コード生成、開発者、バイドゥ、デバッグ、リファクタリング、文心. This follows recorded positioning and does not imply unlisted capabilities are absent.
Baidu Comate also currently records: pricing is freemium, product type is browser extension, 1.4M 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 CodeGeeX first
Put CodeGeeX on the priority trial list when the task aligns with “コード生成” and especially コード生成、自動化、コード翻訳、オープンソース、Zhipu AI. This follows recorded positioning and does not imply unlisted capabilities are absent.
CodeGeeX also currently records: pricing is freemium, product type is browser extension, 88.8K 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 Baidu Comate and CodeGeeX, 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 Baidu Comate and CodeGeeX?
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.