# CodeThreat vs Ollama

CodeThreat records 674 monthly visits with -70.5% month-over-month growth and Freemium, Contact for Pricing pricing. Ollama records 9,421,973 monthly visits with +4.3% growth and Free, Freemium, Paid pricing.

| Metric | [CodeThreat](https://openaitools.app/tool/codethreat) | [Ollama](https://openaitools.app/tool/ollama) |
| :--- | :--- | :--- |
| Website URL | https://codethreat.com | https://ollama.com |
| Categories | AI Code Review, AI Code Assistant, AI Assistant, AI Testing | Large Language Models (LLMs), AI Developer Tools, Open Source AI Models |
| Pricing Model | Freemium, Contact for Pricing | Free, Freemium, Paid |
| Monthly Visits | 674 | 9,421,973 |
| MoM Growth Rate | -70.5% | +4.3% |
| Primary Market | Brazil | China |
| Direct Visits | 279 | 4,020,134 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | app, open-source, website |

## CodeThreat

CodeThreat positions itself as an all-in-one application security platform for engineering teams that find traditional static analysis too noisy. Instead of relying only on pattern rules, it layers AI agents on top of the scanning engine: one agent reviews code changes at pull-request level, another re-examines each finding and explains why it is probably a false positive, and another maps the whole repository to build context around architecture, endpoints, dependencies and data flows. Findings therefore arrive with project context rather than as an undifferentiated list of alerts.

Coverage spans the main AppSec categories in a single product — SAST for source code, SCA for dependencies, infrastructure-as-code scanning, container security and secret scanning — which reduces the number of separate tools a security team has to integrate and correlate. The AI SAST layer is aimed at issues that rule-based scanners often miss, such as logical flaws, authentication path problems and risky data flows. The vendor reports support for more than 27 programming languages and frameworks, with native integrations for GitHub, GitLab, Bitbucket, CI/CD pipelines and cloud providers.

Commercially, CodeThreat follows a land-and-expand model: a free plan for small teams, a per-contributor Pro plan for teams shipping at scale, and an Enterprise tier adding on-premises deployment, SLA-backed support, advanced compliance reporting, private LLM hosting options and manual invoicing. All-in-one consolidation plus enterprise deployment options such as private LLM hosting suggest the target buyer sits in security engineering at mid-size to large software organisations.

**Pricing & Plans:** Freemium with a published entry price: Free plan at $0/month (3 private repositories, limited agentic PR review and false-positive elimination, SAST + SCA), Pro at $39 per contributor per month adding RBAC, secret scanning, infrastructure security, Jira integration and vulnerability reporting/exports, and Enterprise pricing on request for on-prem deployment, SLA support, compliance reporting and private LLM hosting.

- **Agentic PR review:** An AI agent analyses code changes at pull-request level and surfaces risks before merge, so security becomes part of code review rather than a post-release audit.
- **False positive elimination:** A dedicated agent re-checks each finding, flags non-exploitable ones and explains why they are likely false positives, so developers spend their time on real vulnerabilities.
- **AI SAST with project context:** Understands repository context to detect complex issues such as logic flaws, authentication problems and unsafe data flows that rule-based scanners frequently miss.
- **Repository mapping and agentic repo analysis:** Maps the entire codebase, links components and flows, and generates insights on architecture, documentation, endpoints, dependencies and data flow for faster onboarding.
- **Unified AppSec coverage:** SAST, SCA, IaC scanning, container security and secret scanning in one platform, with integrations for GitHub, GitLab, Bitbucket and CI/CD pipelines across 27+ languages.

**Strengths:** AI agents filter false positives and explain findings in developer-friendly language, which reduces alert fatigue; Genuinely consolidated coverage: SAST, SCA, IaC, container and secret scanning in one platform; Transparent self-serve pricing with a free tier and a $39 per contributor Pro plan; Wide language support (27+) and native integrations with GitHub, GitLab, Bitbucket and CI/CD pipelines

**Limitations:** The most advanced governance features — on-prem deployment, SLA support, private LLM hosting — are locked behind Enterprise pricing that must be quoted; Effectiveness depends on how well the AI agents understand a given codebase, so heavily customised or unusual stacks may need evaluation; Free plan limits private repositories to three, which is tight for anything beyond a small team

[Profile (Markdown)](https://openaitools.app/tool/codethreat.md)

## Ollama

Ollama has become the default way many developers get started with open models. A single install gives you a local server and a command line that pulls model weights, manages versions, and exposes a simple HTTP API on your machine. Because everything runs locally, prompts and responses never leave your computer, which makes it a natural fit for privacy-sensitive prototyping, offline work, and experiments that should not be metered per token.

The project has expanded well beyond a local runtime. Ollama now also serves open models in the cloud, so you can reach larger or more capable checkpoints without owning a high-end GPU. The company reports over nine million monthly installs, more than a billion model downloads, and hundreds of trillions of tokens served, which reflects how widely the tool is embedded in AI developer workflows.

Pricing stays approachable: running models on your own hardware is free and unlimited, while cloud usage is metered per token, with subscription plans for individuals, power users, and teams. Model weights are supplied by the upstream publishers, and Ollama states that prompt and response data are never logged or used for training.

**Pricing & Plans:** Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered.

- **One-command local models:** Install once and pull open-weight models by name; Ollama handles weights, quantization and versioning for you.
- **Local HTTP API and CLI:** A built-in server exposes a straightforward REST API, so scripts, editors and agents can talk to local models with minimal setup.
- **Cloud models for bigger jobs:** Route requests to hosted open models when your laptop cannot hold the checkpoint you need, with per-token pricing and concurrency tiers.
- **Broad model catalog:** Access families such as Llama, Qwen, DeepSeek, Gemma, Mistral and gpt-oss from a single interface.
- **Privacy by default:** Local inference keeps prompts and outputs on your own device, with no logging or training on your data.

**Strengths:** Extremely quick to install and use, with a friendly CLI and API; Local inference means strong privacy and no per-token cost on your own hardware; Wide, actively updated catalog of open-weight models; Cloud option scales to larger models without new hardware

**Limitations:** Local performance depends heavily on your GPU and RAM; Cloud usage is billed per token and large models add up quickly; Advanced serving features are less extensive than dedicated inference servers

[Profile (Markdown)](https://openaitools.app/tool/ollama.md)

## Frequently Asked Questions

### How do CodeThreat and Ollama compare in monthly traffic?

CodeThreat has 674 monthly visits, while Ollama has 9,421,973. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CodeThreat has a month-over-month growth rate of -70.5%; Ollama has +4.3%.

### How does pricing compare?

CodeThreat: Freemium, Contact for Pricing. Freemium with a published entry price: Free plan at $0/month (3 private repositories, limited agentic PR review and false-positive elimination, SAST + SCA), Pro at $39 per contributor per month adding RBAC, secret scanning, infrastructure security, Jira integration and vulnerability reporting/exports, and Enterprise pricing on request for on-prem deployment, SLA support, compliance reporting and private LLM hosting. Ollama: Free, Freemium, Paid. Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Cloud API gateway providing instant access to thousands of models, trading local hardware privacy for cloud compute. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 3 | [CodeRabbit](https://openaitools.app/tool/coderabbit) | 1,048,880 | +4.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI code review, PR triage, and security monitoring for fast-moving teams | [.md](https://openaitools.app/tool/coderabbit.md) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Open-source platform for building visual agentic workflows and RAG pipelines using local or cloud models. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Feature-rich self-hosted web chat interface designed to manage and query local models like Ollama. | [.md](https://openaitools.app/tool/open-webui.md) |
| 6 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 7 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Privacy-first desktop app focused specifically on local document chat and RAG, unlike Ollama's general-purpose CLI runtime. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 8 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Development framework for connecting local models to external document stores and structured data sources. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 9 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |
| 10 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | Open-source desktop app for running models locally with a graphical interface, but heavier than Ollama's lightweight CLI. | [.md](https://openaitools.app/tool/jan.md) |

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Source: https://openaitools.app/compare/codethreat-vs-ollama

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)