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App Wishlist

Propose and vote for apps to be packaged

1.7k Topics 14.4k Posts
  • Please use this template to make an App Wishlist request

    Pinned app wishlist template
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    marcusquinnM
    Nice work. Screenshots help a lot.
  • Please search & upvote before opening a new topic

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    jdaviescoatesJ
    @nottheend personally I think no need to delete it
  • Agate - A simple gemini server

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    DidierMalenfantD
    I think as an option it's a really good idea. I'll look into it if I get a chance.
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    timconsidineT
    To clarify my response, this kind of functionality is definitely useful. I run a self hosted NetBird so different devices can be accessed as if local, across a common 100.121.xxx.xxx range. I just don’t know if deploying FRP in a container app will work to provide access to the host (which I assume is most of the point).
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    timconsidineT
    Same comment as for FRP. If an app, does it provide access to the host or just the app ?
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    @nebulon said in Docs - Alternative to Notion / Outline with OIDC, GDPR compliant, PDF Export (with template) etc...: Indeed looks like they removed all the beta labels by now. Maybe I will get around looking at the package over the weekend. This would be fantastic and much appreciated.
  • Keila - Open Source Email Newsletters

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    andreasduerenA
    @girish Done https://git.due.ren/andreas/keila-cloudron
  • Horilla - Open Source HR Software

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    BrutalBirdieB
    If I find the time
  • DumbDrop

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  • Foundry Virtual Tabletop

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    BrutalBirdieB
    @LoudLemur You need a license, that comes first. FoundryVTT is not in the App Store. All steps for installation are documented in the git repo in the ASCIINEMA recording: https://github.com/BrutalBirdie/cloudron-foundryvtt?tab=readme-ov-file#how-to-install-from-public-image [image: IKH2czAvtzKF9xhE4zrV6k5qe.svg] @LoudLemur said in Foundry Virtual Tabletop: Are there likely to be any sweet deals for additional DLC on cyber Monday? Which is the best additional content? Can't tell, leaning to no or highly unlikely. This is up to the FoundryVTT team and also each plugin / extension is developed by a different entity. So expecting a full sale on everything is highly unlikely. Also, giving an answer to "best additional content" is not possible. FoundryVTT is a virtual tabletop software. It depends, if you want to play DnD, DSA, Warhammer 40k or some other pen and paper game system. Each one is unique and has unique plugins.
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    The Release Candidate 1.0 has been announced recently. https://bonfirenetworks.org/posts/bonfire_social_rc/
  • No-Code Architects NCA Toolkit API - Free Self Hosted API

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    @robi This looks like a great project and something worthy of being added to Cloudron. I like how routes can easily be added. Looks like I might have to learn me some Flask:)
  • LibreChat

    Locked Solved chatgpt openai
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    girishG
    @canadaduane I added you to the App dev group . thanks!
  • Windmill: Open-source alternative to Airplane, Superblocks, Retool

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    marcusquinnM
    Nice. from me. Looks like a true open-source alt to Pipedream: https://pipedream.com/
  • Senaite LIMS

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  • Flowise - UI for LangChain

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    robiR
    It seems they've simplified the install quite a bit - https://github.com/FlowiseAI/Flowise/blob/main/Dockerfile Their new 3.0 has capabilities that eclipse n8n in state awareness across nodes and simplification. node app with chromium-browser needed for packaging. https://github.com/FlowiseAI/Flowise/blob/main/Dockerfile
  • Seafile - cloud storage platform

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    timconsidineT
    @joseph spot on Needed I think because of its approach to indexing and version/change tracking/sync Seafile does provide a utility to abstract files from its format to traditional format but it needs to be run periodically if you want to keep a clean copy, and of course doubles the size. Nonetheless I use Seafile heavily and it’s always been reliable. Would love to see it here on Cloudron, I currently run it on a VPS with Docker Packaging for Cloudron has its challenges.
  • Papra - Document Management Platform

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    BushidoB
    @LoudLemur said in Papra - Document Management Platform: https://forum.cloudron.io/topic/12472/please-use-this-template-to-make-an-app-wishlist-request Thank you, did my best now
  • H2O LLM Studio, no-code GUI, fine-tuning LLMs

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    Lots of work has continued on this project: https://github.com/h2oai/h2o-llmstudio/compare/v0.0.1...v1.14.1 Here is an ai summary of the main improvements: "Overview H2O.ai's h2o-llmstudio, a tool for fine-tuning large language models (LLMs), has evolved significantly from its initial version (v0.0.1) to the latest (v1.14.1). This software, designed for both technical and non-technical users, has introduced new features and optimizations that enhance its functionality for enterprise applications. Technical Advancements The software has added support for new problem types, such as causal regression and classification modeling, making it versatile for different tasks. It has also shifted from Reinforcement Learning from Human Feedback (RLHF) to more efficient methods like Direct Preference Optimization (DPO) and Inverse Preference Optimization (IPO), improving training efficiency. Additionally, Deepspeed integration for distributed training and advanced techniques like Low-Rank Adaptation (LoRA) have boosted performance, especially for larger models. Performance and Cost Benefits Research indicates significant performance improvements, with fine-tuned models reducing costs by up to 70% and cutting inference time by 75%. It can now handle 500% more requests, making it scalable for high-demand scenarios. In benchmarks like GAIA, it achieved 79.7% accuracy, nearing human-level performance at 92%, outperforming competitors. Usability Enhancements The no-code GUI has been refined, making it easier for users without coding experience to fine-tune LLMs. Features like a single max_length setting and improved user secrets handling with the 'keyring' library enhance usability and security. Integration with tools like Neptune and Weights & Biases (W&B) also helps track and compare model performance. Technical Advancements The software has introduced several new problem types, enhancing its applicability across various use cases: Causal Regression Modeling: Added in recent updates, this feature supports single-target regression tasks using LLMs, as noted in pull request (PR) 788 on the GitHub repository. This allows for more advanced predictive modeling. Causal Classification Modeling: Introduced via PR 449, it supports binary and multiclass classification, expanding the software's utility for classification tasks. DPO/IPO Optimization: A significant shift occurred with the introduction of Direct Preference Optimization (DPO) and Inverse Preference Optimization (IPO) as alternatives to RLHF, starting with PR 530. This was further solidified with PR 592, which began deprecating RLHF, and PR 747, which fully removed it in favor of DPO/IPO/KTO (Kullback-Leibler Divergence-based Training Objective) optimization. This change improves training stability and efficiency. Additional technical enhancements include: Deepspeed Integration: PR 288 introduced Deepspeed for sharded training on multiple GPUs with NVLink, replacing Fully Sharded Data Parallel (FSDP). This is particularly beneficial for large-scale distributed training, requiring CUDA toolkit 12.1. Advanced Optimization Techniques: Support for Low-Rank Adaptation (LoRA) and 4-bit QLoRA, mentioned in external announcements, reduces memory footprint and enables faster training, especially for resource-constrained environments. Performance and Scalability Improvements The software has seen measurable performance gains, as highlighted in recent business announcements: Cost Reduction: Fine-tuned open-source LLMs have reduced expenses by up to 70%, making it cost-effective for enterprises . Latency Improvement: Optimized processing has cut inference time by 75%, enhancing real-time application performance. Scalability: The platform now handles 500% more requests than previous versions, as noted in the same announcement, making it suitable for high-demand scenarios. Benchmark performance is also notable: In the GAIA benchmark, h2oGPTe Agent achieved 79.7% accuracy, with human-level performance measured at 92%, outperforming general-purpose models from Google and Microsoft, which scored below 50% H2O.ai Breaks New World Record for Most Accurate Agentic AI for Generalized Assistants. Usability and User Experience Enhancements H2O LLM Studio has focused on improving accessibility and usability: No-Code GUI: The no-code interface, a core feature since its inception, has been refined, making it intuitive for users without coding experience, as mentioned in external blogs and LinkedIn posts . Configuration Simplification: PR 741 introduced a single max_length setting, resembling the chat_template functionality from the transformers library, simplifying model setup. User Secrets Handling: PR 364 improved security with support for the 'keyring' library, including automatic migration of user settings, enhancing data protection. Integration with Tools: Integration with Neptune and Weights & Biases (W&B) for experiment tracking and performance comparison, as noted in AWS Marketplace listings , improves workflow efficiency. Model Support and Deployment Flexibility The software now supports a broader range of LLMs: Models like DeepSeek, Llama, Qwen, H2O Danube, and H2OVL Mississippi are supported, as mentioned in recent announcements, allowing users to fine-tune diverse state-of-the-art models. Deployment options have been expanded to include on-premises, cloud VPCs, or air-gapped environments, ensuring data privacy and compliance, as highlighted in platform descriptions . Evaluation and Export Capabilities Advanced Evaluation Metrics: Users can now judge generated answers using advanced metrics, improving model reliability, as noted in AWS Marketplace details. Model Export: The ability to export fine-tuned models to the Hugging Face Hub for sharing and collaboration has been enhanced, facilitating community engagement " Category Initial (v0.0.1) Latest (v1.14.1) Impact Problem Types Limited to basic fine-tuning Includes causal regression, classification Expanded use cases Optimization Techniques RLHF-based DPO/IPO/KTO, Deepspeed, LoRA, QLoRA Improved efficiency, reduced memory use Scalability Basic, limited requests Handles 500% more requests Enhanced for enterprise needs Cost Efficiency Standard costs Up to 70% cost reduction Significant savings Latency Higher inference time 75% reduction in inference time Faster real-time applications Usability Basic GUI Enhanced no-code GUI, keyring support More accessible to non-coders Model Support Limited models Supports DeepSeek, Llama, etc. Broader model compatibility Benchmark Performance Not specified 79.7% GAIA accuracy, 92% human-level Competitive edge in accuracy
  • rathole - NAT traversal proxy - alternative to frp, ngrok, etc

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    robiR
    @LoudLemur Doesn't mean there hasn't been repo activity. Just no releases it seems. Mostly just works for people. Many alternatives exist: https://github.com/anderspitman/awesome-tunneling For instance: https://github.com/ekzhang/bore [Rust based] Best option for Cloudron is if there is such a tool with a generic enough web interface, like our VPN web app, that will satisfy packaging requirements and easily use one or several such cli tools underneath. Then the user can choose and the ecosystem can grow. For anyone feeling generously adventurous, use one of the available and very capable AIs to help make such an app or modify the existing VPN app to make this work. Then use the already developed prompt for packaging it too