Software Alternatives & Startups

SelfHostLLM VS ShellNewHandler

Compare SelfHostLLM VS ShellNewHandler and see what are their differences

SelfHostLLM

Calculate the GPU memory you need for LLM inference

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Rating
0 reviews
ShellNewHandler

SourceForge.net: ShellNewHandler details page

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, ShellNewHandler seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Developer Tools popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

SHL
SelfHostLLM
ShellNewHandler
Website selfhostllm.org sourceforge.net
Listed in

Features and specs

What each product offers, as listed by its team.

SHL
SelfHostLLM 5 features
ShellNewHandler 0 features
  • Full Data Privacy
    By self-hosting large language models, users retain complete control over their data. No information is sent to third-party servers, making it ideal for organizations with strict data privacy and compliance requirements.
  • No Recurring API Costs
    Self-hosting eliminates ongoing per-token or per-request API fees associated with cloud-based LLM providers. After the initial setup investment, operational costs can be significantly lower for heavy usage scenarios.
  • Customization and Fine-Tuning
    Self-hosted LLMs allow users to fine-tune and customize models to their specific domain, use case, or organizational needs without restrictions imposed by third-party providers.
  • Offline Availability
    Self-hosted models can operate without an internet connection, ensuring availability in air-gapped environments or situations where reliable internet access is not guaranteed.
  • No Vendor Lock-In
    Users are not dependent on a single provider's pricing changes, terms of service updates, or service discontinuations. They maintain full autonomy over their AI infrastructure and can switch models freely.

Possible disadvantages

  • High Hardware Requirements
    Running large language models locally requires significant computational resources, including powerful GPUs with substantial VRAM, which can involve a steep upfront hardware investment.
  • Technical Complexity
    Setting up, configuring, and maintaining self-hosted LLMs requires considerable technical expertise in areas like system administration, GPU management, and model deployment, which may be challenging for less technical users.
  • Maintenance Burden
    Users are responsible for all updates, security patches, scaling, and troubleshooting. Unlike managed services, there is no dedicated support team, placing the full operational burden on the user or their team.
  • Model Performance Limitations
    Self-hosted open-source models may not match the performance and capabilities of the latest proprietary models from providers like OpenAI or Anthropic, potentially resulting in lower quality outputs for complex tasks.
  • Limited Community and Documentation
    As a relatively niche platform, SelfHostLLM may have a smaller community and less extensive documentation compared to more established solutions, making it harder to find help when encountering issues.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

SHL
SelfHostLLM
ShellNewHandler

Overall verdict

  • SelfHostLLM is a useful, free calculator tool for estimating GPU memory requirements and maximum concurrent request capacity when self-hosting large language models, making it valuable for capacity planning.

Why this product is good

  • It provides quick estimates of VRAM needs based on model size, quantization, and context length
  • Helps you plan how many concurrent requests your hardware can realistically handle
  • Free to use with a simple, focused interface aimed at self-hosting scenarios
  • Supports experimentation with different models and GPU configurations before committing to hardware purchases
  • Useful for understanding the trade-offs between quantization levels, context window, and memory usage

Recommended for

  • Developers and engineers planning to self-host LLMs on their own infrastructure
  • Teams evaluating GPU hardware requirements before purchasing
  • Hobbyists and researchers experimenting with local model deployment
  • DevOps professionals sizing inference servers for concurrent user loads
  • Anyone wanting to estimate costs and feasibility of running open-source models like Llama locally

Overall verdict

  • ShellNewHandler is a niche, lightweight utility hosted on SourceForge designed to give users more control over the Windows 'New' context menu (the ShellNew menu). It can be considered good for its specific narrow use case, but it is an older, minimally maintained tool that may not suit all users, especially those on modern Windows versions.

Why this product is good

  • Provides direct control over customizing the Windows right-click 'New' menu, allowing users to add or remove file type entries
  • Lightweight and free, without bundled bloatware typical of some other free utilities
  • Simple and focused in scope, making it easy to understand for its specific purpose
  • Open distribution via SourceForge allows transparency and no-cost access

Recommended for

  • Power users who want to declutter or customize the Windows New context menu
  • IT administrators managing standardized desktop environments across multiple machines
  • Users comfortable with older utility-style tools and Windows registry-related tweaks
  • Not recommended for casual users seeking modern, actively supported software with regular updates

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
SHL
SelfHostLLM
ShellNewHandler
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using SelfHostLLM and ShellNewHandler. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

SHL
SelfHostLLM 0 mentions
ShellNewHandler 2 mentions

Tracking SelfHostLLM since Aug 2025.

  • I recently got libreoffice, but now the new option in right click looks like a mess. Can someone help me get rid of them please?
    Use Shell New Handler. Run the portable app and simply untick the items you don't want to appear in your new context menu. Source: about 4 years ago
  • This menu should be easy to add/remove programs to... Who is really creating Access Databases from this menu often enough to keep it here? (Not me!) Is there an easy way to edit this?
    I've always used ShellNewHandler for this. It's a really simple portable utility that allows you to remove most of the items from that menu. Tested it out on Windows 11 and it's still compatible. Source: over 5 years ago

Alternatives to SelfHostLLM and ShellNewHandler

When comparing SelfHostLLM and ShellNewHandler, you can also consider the following products.