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"description":"Provides the necessary endpoint to enable end-to-end encryption.\n\n**Notice:** E2EE is currently not compatible to be used together with server-side encryption",
"description":"Provides the necessary endpoint to enable end-to-end encryption.",
"description":"This application enables Nextcloud users to open, save and edit mind map files in the web browser. If enabled, an entry in the New button at the top of the web browser the Mindmap file entry appears. When clicked, a new mindmap file opens in the browser and the file can be saved into the current Nextcloud directory.",
"description":"**Simple surveys and questionnaires, self-hosted!**\n\n- **📝 Simple design:** No mass of options, only the essentials. Works well on mobile of course.\n- **📊 View & export results:** Results are visualized and can also be exported as CSV in the same format used by Google Forms.\n- **🔒 Data under your control!** Unlike in Google Forms, Typeform, Doodle and others, the survey info and responses are kept private on your instance.\n- **🧑💻 Connect to your software:** Easily integrate Forms into your service with our full-fledged [REST-API](https://github.com/nextcloud/forms/blob/main/docs/API.md).\n- **🙋 Get involved!** We have lots of stuff planned like more question types, collaboration on forms, [and much more](https://github.com/nextcloud/forms/milestones)!",
"description":"Admin configured folders shared with everyone in a group.\n\nFolders can be configured from *Group folders* in the admin settings.\n\nAfter a folder is created, the admin can give access to the folder to one or more groups, control their write/sharing permissions and assign a quota for the folder.",
"description":"Admin configured folders shared with everyone in a group.\n\nFolders can be configured from *Group folders* in the admin settings.\n\nAfter a folder is created, the admin can give access to the folder to one or more groups, control their write/sharing permissions and assign a quota for the folder.\n\nNote: Encrypting the contents of group folders is currently not supported.",
"description":"⚠️ The smart pickers have been removed from this app\nas they are now included in the [Assistant app](https://apps.nextcloud.com/apps/assistant).\n\nThis app implements:\n\n* Text generation providers: Free prompt, Summarize, Headline, Context Write, Chat, and Reformulate (using any available large language model)\n* A Translation provider (using any available language model)\n* A SpeechToText provider (using Whisper)\n* An image generation provider\n\n⚠️ Context Write, Summarize, Headline and Reformulate have mainly been tested with OpenAI.\nThey might work when connecting to other services, without any guarantee.\n\nInstead of connecting to the OpenAI API for these, you can also connect to a self-hosted [LocalAI](https://localai.io) instance or [Ollama](https://ollama.com/) instance\nor to any service that implements an API similar to the OpenAI one, for example: [Plusserver](https://www.plusserver.com/en/ai-platform/) or [MistralAI](https://mistral.ai).\n\n⚠️ This app is mainly tested with OpenAI. We do not guarantee it works perfectly\nwith other services that implement OpenAI-compatible APIs with slight differences.\n\n## Improve AI task pickup speed\n\nTo avoid task processing execution delay, setup at 4 background job workers in the main server (where Nextcloud is installed). The setup process is documented here: https://docs.nextcloud.com/server/latest/admin_manual/ai/overview.html#improve-ai-task-pickup-speed\n\n## Ethical AI Rating\n### Rating for Text generation using ChatGPT via the OpenAI API: 🔴\n\nNegative:\n* The software for training and inference of this model is proprietary, limiting running it locally or training by yourself\n* The trained model is not freely available, so the model can not be run on-premises\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.\n\n\n### Rating for Translation using ChatGPT via the OpenAI API: 🔴\n\nNegative:\n* The software for training and inference of this model is proprietary, limiting running it locally or training by yourself\n* The trained model is not freely available, so the model can not be run on-premises\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.\n\n### Rating for Image generation using DALL·E via the OpenAI API: 🔴\n\nNegative:\n* The software for training and inferencing of this model is proprietary, limiting running it locally or training by yourself\n* The trained model is not freely available, so the model can not be ran on-premises\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n\n### Rating for Speech-To-Text using Whisper via the OpenAI API: 🟡\n\nPositive:\n* The software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can run on-premise\n\nNegative:\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n### Rating for Text generation via LocalAI: 🟢\n\nPositive:\n* The software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can be ran on-premises\n* The training data is freely available, making it possible to check or correct for bias or optimise the performance and CO2 usage.\n\n\n### Rating for Image generation using Stable Diffusion via LocalAI : 🟡\n\nPositive:\n* The software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can be ran on-premises\n\nNegative:\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n\n### Rating for Speech-To-Text using Whisper via LocalAI: 🟡\n\nPositive:\n* The software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can be ran on-premises\n\nNegative:\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\nLearn more about the Nextcloud Ethical AI Rating [in our blog](https://nextcloud.com/blog/nextcloud-ethical-ai-rating/).",
"description":"⚠️ The smart pickers have been removed from this app\nas they are now included in the [Assistant app](https://apps.nextcloud.com/apps/assistant).\n\nThis app implements:\n\n* Text generation providers: Free prompt, Summarize, Headline, Context Write, Chat, and Reformulate (using any available large language model)\n* A Translation provider (using any available language model)\n* A SpeechToText provider (using Whisper)\n* An image generation provider\n\n⚠️ Context Write, Summarize, Headline and Reformulate have mainly been tested with OpenAI.\nThey might work when connecting to other services, without any guarantee.\n\nInstead of connecting to the OpenAI API for these, you can also connect to a self-hosted [LocalAI](https://localai.io) instance or [Ollama](https://ollama.com/) instance\nor to any service that implements an API similar to the OpenAI one, for example:\n[IONOS AI Model Hub](https://docs.ionos.com/cloud/ai/ai-model-hub), [Plusserver](https://www.plusserver.com/en/ai-platform/) or [MistralAI](https://mistral.ai).\n\n⚠️ This app is mainly tested with OpenAI. We do not guarantee it works perfectly\nwith other services that implement OpenAI-compatible APIs with slight differences.\n\n## Improve AI task pickup speed\n\nTo avoid task processing execution delay, setup at 4 background job workers in the main server (where Nextcloud is installed). The setup process is documented here: https://docs.nextcloud.com/server/latest/admin_manual/ai/overview.html#improve-ai-task-pickup-speed\n\n## Ethical AI Rating\n### Rating for Text generation using ChatGPT via the OpenAI API: 🔴\n\nNegative:\n* The software for training and inference of this model is proprietary, limiting running it locally or training by yourself\n* The trained model is not freely available, so the model can not be run on-premises\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.\n\n\n### Rating for Translation using ChatGPT via the OpenAI API: 🔴\n\nNegative:\n* The software for training and inference of this model is proprietary, limiting running it locally or training by yourself\n* The trained model is not freely available, so the model can not be run on-premises\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model's performance and CO2 usage.\n\n### Rating for Image generation using DALL·E via the OpenAI API: 🔴\n\nNegative:\n* The software for training and inferencing of this model is proprietary, limiting running it locally or training by yourself\n* The trained model is not freely available, so the model can not be ran on-premises\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n\n### Rating for Speech-To-Text using Whisper via the OpenAI API: 🟡\n\nPositive:\n* The software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can run on-premise\n\nNegative:\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n### Rating for Text generation via LocalAI: 🟢\n\nPositive:\n* The software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can be ran on-premises\n* The training data is freely available, making it possible to check or correct for bias or optimise the performance and CO2 usage.\n\n\n### Rating for Image generation using Stable Diffusion via LocalAI : 🟡\n\nPositive:\n* The software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can be ran on-premises\n\nNegative:\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\n\n### Rating for Speech-To-Text using Whisper via LocalAI: 🟡\n\nPositive:\n* The software for training and inferencing of this model is open source\n* The trained model is freely available, and thus can be ran on-premises\n\nNegative:\n* The training data is not freely available, limiting the ability of external parties to check and correct for bias or optimise the model’s performance and CO2 usage.\n\nLearn more about the Nextcloud Ethical AI Rating [in our blog](https://nextcloud.com/blog/nextcloud-ethical-ai-rating/).",
"description":"**💌 A mail app for Nextcloud**\n\n- **🚀 Integration with other Nextcloud apps!** Currently Contacts, Calendar & Files – more to come.\n- **📥 Multiple mail accounts!** Personal and company account? No problem, and a nice unified inbox. Connect any IMAP account.\n- **🔒 Send & receive encrypted mails!** Using the great [Mailvelope](https://mailvelope.com) browser extension.\n- **🙈 We’re not reinventing the wheel!** Based on the great [Horde](https://horde.org) libraries.\n- **📬 Want to host your own mail server?** We do not have to reimplement this as you could set up [Mail-in-a-Box](https://mailinabox.email)!\n\n## Ethical AI Rating\n\n### Priority Inbox\n\nPositive:\n* The software for training and inferencing of this model is open source.\n* The model is created and trained on-premises based on the user's own data.\n* The training data is accessible to the user, making it possible to check or correct for bias or optimise the performance and CO2 usage.\n\n### Thread Summaries (opt-in)\n\n**Rating:** 🟢/🟡/🟠/🔴\n\nThe rating depends on the installed text processing backend. See [the rating overview](https://docs.nextcloud.com/server/latest/admin_manual/ai/index.html) for details.\n\nLearn more about the Nextcloud Ethical AI Rating [in our blog](https://nextcloud.com/blog/nextcloud-ethical-ai-rating/).",
"description":"Using the SSO & SAML app of your Nextcloud you can make it easily possible to integrate your existing Single-Sign-On solution with Nextcloud. In addition, you can use the Nextcloud LDAP user provider to keep the convenience for users. (e.g. when sharing)\nThe following providers are supported and tested at the moment:\n\n* **SAML 2.0**\n\t* OneLogin\n\t* Shibboleth\n\t* Active Directory Federation Services (ADFS)\n\n* **Authentication via Environment Variable**\n\t* Kerberos (mod_auth_kerb)\n\t* Any other provider that authenticates using the environment variable\n\nWhile theoretically any other authentication provider implementing either one of those standards is compatible, we like to note that they are not part of any internal test matrix.",
"description":"The official whiteboard app for Nextcloud. It allows users to create and share whiteboards with other users and collaborate in real-time.\n\n**Whiteboard requires a separate collaboration server to work.** Please see the [documentation](https://github.com/nextcloud/whiteboard?tab=readme-ov-file#backend) on how to install it.\n\n- 🎨 Drawing shapes, writing text, connecting elements\n- 📝 Real-time collaboration\n- 🖼️ Add images with drag and drop\n- 📊 Easily add mermaid diagrams\n- ✨ Use the Smart Picker to embed other elements from Nextcloud\n- 📦 Image export\n- 💪 Strong foundation: We use Excalidraw as our base library",
