Kel est un assistant IA gratuit et open-source pour votre interface de ligne de commande (CLI). Il s'intègre avec plusieurs LLM comme OpenAI, Anthropic et Ollama pour aider les développeurs et les administrateurs système à automatiser des tâches, générer des commandes et même discuter avec des documents directement depuis le terminal.
Waveterm est un terminal moderne et open-source conçu pour les développeurs et les ingénieurs DevOps. Il améliore l'expérience de la ligne de commande en intégrant une assistance par IA, un éditeur de type VSCode, des aperçus de fichiers en ligne, un navigateur web et des tableaux de bord personnalisables. Cet espace de travail tout-en-un réduit le changement de contexte et augmente la productivité sur macOS, Windows et Linux.
Aperçu du produit
Kel Aperçu du produit
Kel est un assistant IA gratuit et open-source pour votre interface de ligne de commande (CLI). Il s'intègre avec plusieurs LLM comme OpenAI, Anthropic et Ollama pour aider les développeurs et les administrateurs système à automatiser des tâches, générer des commandes et même discuter avec des documents directement depuis le terminal.
Waveterm Aperçu du produit
Waveterm est un terminal moderne et open-source conçu pour les développeurs et les ingénieurs DevOps. Il améliore l'expérience de la ligne de commande en intégrant une assistance par IA, un éditeur de type VSCode, des aperçus de fichiers en ligne, un navigateur web et des tableaux de bord personnalisables. Cet espace de travail tout-en-un réduit le changement de contexte et augmente la productivité sur macOS, Windows et Linux.
Detailed feature comparison
| Feature | Kel | Waveterm |
|---|---|---|
| Catégorie principale | Assistant de code | Assistant de code |
| Ajouté | 2025-08-15 | 2025-09-13 |
| Tarification | Freemium | Gratuit |
| Site officiel | kel.qainsights.com | waveterm.dev |
| Type de produit | Application | Application |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 3.4K | 129.8K |
| Croissance mensuelle | Non vérifié | 37% |
| Favoris | 127 | 158 |
| Details | Voir les détails | Voir les détails |
Kel vs Waveterm monthly traffic
Compare Kel and Waveterm by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Kel vs Waveterm monthly traffic comparison, Kel currently shows 3.4K visits and Waveterm shows 129.8K; Waveterm has about 38.1 times the visible traffic of Kel, an absolute difference of about 126.4K visits. This reflects visible reach, not feature quality or paid users.
Only Waveterm has complete third-party traffic details; Kel 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.
Kel monthly traffic:
Latest traffic
Waveterm monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 54.8K Visites mensuelles
- 2026/1: 86.3K Visites mensuelles
- 2026/2: 76.3K Visites mensuelles
- 2026/3: 84.3K Visites mensuelles
- 2026/4: 94.8K Visites mensuelles
- 2026/5: 129.8K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇰🇷Korea, Republic of | 32.97% | 42.8K |
| 🇺🇸United States | 29.93% | 38.9K |
| 🇨🇳China | 23.12% | 30K |
| 🇹🇼Taiwan | 7.81% | 10.1K |
| 🇩🇪Germany | 6.17% | 8K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 66.95% | 86.9K |
| Référence | 33% | 42.8K |
| 0.05% | 65 |
Mots-clés
Usage comparison
Compare the core capabilities of Kel and Waveterm
Kel Core features
Waveterm Core features
Use cases
Kel Use cases
Waveterm Use cases
Best suited roles
Kel Best suited roles
Waveterm Best suited roles
Kel vs Waveterm:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Kel vs Waveterm comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Kel is primarily listed under “Assistant de code”, while Waveterm is primarily listed under “Assistant de code”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Pricing (Kel: Freemium; Waveterm: Free); Monthly visits (Kel: 3.4K; Waveterm: 129.8K); Favorites (Kel: 127; Waveterm: 158); Website (Kel: kel.qainsights.com; Waveterm: waveterm.dev); Added (Kel: 2025-08-15; Waveterm: 2025-09-13). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Kel vs Waveterm monthly traffic comparison, Kel currently shows 3.4K visits and Waveterm shows 129.8K; Waveterm has about 38.1 times the visible traffic of Kel, an absolute difference of about 126.4K visits. This reflects visible reach, not feature quality or paid users.
Only Waveterm has complete third-party traffic details; Kel 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.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
Kel and Waveterm currently overlap in shared categories: Assistant de code; shared tags: Ligne de commande, outil de développement, Open source, productivité et Terminal. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Kel's unique categories/tags are Ligne de commande, Automatisation, Assistant IA, Anthropic, automatisation, Interface en Ligne de Commande, Assistant de codage et Ollama; Waveterm's are Terminal, SSH, Espace de travail, IA, Éditeur de code, interface de ligne de commande, Tableau de bord et DevOps. 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
Kel has no verified rating, 0 comments, 127 favorites, and 103 likes;Waveterm has no verified rating, 0 comments, 158 favorites, and 160 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Kel first
Put Kel on the priority trial list when the task aligns with “Assistant de code” and especially Ligne de commande, Automatisation, Assistant IA, Anthropic, automatisation et Interface en Ligne de Commande. This follows recorded positioning and does not imply unlisted capabilities are absent.
Kel also currently records: pricing is freemium, product type is app, 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.
When to evaluate Waveterm first
Put Waveterm on the priority trial list when the task aligns with “Assistant de code” and especially Terminal, SSH, Espace de travail, IA, Éditeur de code et interface de ligne de commande, or the users include Ingénieur Cloud, Scientifique de données, Ingénieur DevOps et Professionnel de l'informatique. This follows recorded positioning and does not imply unlisted capabilities are absent.
Waveterm also currently records: pricing is free, product type is app, 129.8K 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 Kel and Waveterm, 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.




