Opensource

cross-posted from: https://lemm.ee/post/48062206

cross-posted from: https://lemm.ee/post/47771637

Extractify.zip is open source progressive web app (PWA) website to view and extract zip files online without downloading them (client side). It is a free and open source project.

Website: https://extractify.zip/

Welcome to a new era of interconnected content discussion with PieFed – a link aggregator, a forum, a hub of social interaction and information, built for the fediverse. Our focus is on individual control, safety, and decentralised power.

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Like other platforms in the fediverse, we are a self-governed space for social link aggregation and conversation. We operate without the influence of corporate entities – ensuring that your experience is free of advertisements, invasive tracking, or secret algorithms. On our platform, content is grouped into communities, allowing you to engage with topics of interest and disregard the irrelevant ones. We utilise a voting system to highlight the best content.

• Source Code (Codeberg)
• Roadmap
• Comparing network utilization of Lemmy, Kbin and PieFed
• Instances

Video introduction the codebase

Advent of Open Source is a community-driven event that aims to introduce newcomers to Open Source Software development, and to help all participants to create or enhance their repositories.

cross-posted from: https://lemm.ee/post/47587175

There’s more than one garage opener with a not-quite-open ecosystem. That’s why an Ars writer installed an OpenGarage unit.

A friend was asking, and it would be nice to have one or two to recommend.

Bonus if it's on Google Play in addition to Fdroid, but not necessary.

Some recommendations in these threads:

• https://lemmy.ca/comment/12756204
• https://lemmy.ca/post/32878118

Some discussion on apps (including non-FOSS) here:

• https://foundation.mozilla.org/en/privacynotincluded/categories/reproductive-health/

Leading Recommendation from the comments

The leading recommendation seems to be Drip (bloodyhealth.gitlab.io)

Summarizing what people shared:

• accessible: it is on F-droid, Google Play, & iOS App Store
• does not allow any third-party tracking
• the project got support from "PrototypeFund & Germany's Federal Ministry of Education and Research, the Superrr Lab and Mozilla"
• Listed features:
  • "Your data, your choice: Everything you enter stays on your device"
  • "Not another cute, pink app: drip is designed with gender inclusivity in mind."
  • "Your body is not a black box: drip is transparent in its calculations and encourages you to think for yourself."
  • "Track what you like: Just your period, or detect your fertility using the symptothermal method."

Their Mastodon: https://mastodon.social/@dripapp

A friend was asking, and it would be nice to have one or two to recommend.

Bonus if it's on Google Play in addition to Fdroid, but not necessary.

Some recommendations in these threads:

• https://lemmy.ca/comment/12756204
• https://lemmy.ca/post/32878118

Some discussion on apps (including non-FOSS) here:

• https://foundation.mozilla.org/en/privacynotincluded/categories/reproductive-health/

Leading Recommendation from the comments

The leading recommendation seems to be Drip (bloodyhealth.gitlab.io)

Summarizing what people shared:

• accessible: it is on F-droid, Google Play, & iOS App Store
• does not allow any third-party tracking
• the project got support from "PrototypeFund & Germany's Federal Ministry of Education and Research, the Superrr Lab and Mozilla"
• Listed features:
  • "Your data, your choice: Everything you enter stays on your device"
  • "Not another cute, pink app: drip is designed with gender inclusivity in mind."
  • "Your body is not a black box: drip is transparent in its calculations and encourages you to think for yourself."
  • "Track what you like: Just your period, or detect your fertility using the symptothermal method."

Their Mastodon: https://mastodon.social/@dripapp

Apply with your ideas for innovative open source software in the public interest! You will receive up to €95,000 over six months or €158,000 over ten months of funding from the German Ministry of Education and Research. We will also provide you with coaching, consulting and networking opportunities.

cross-posted from: https://lemmy.zip/post/26156649

The slow and steady climb to 3.0 culminates in the most modernized version of GIMP yet.

A privacy-first, open-source platform for knowledge management and collaboration.

cross-posted from: https://lemm.ee/post/47013032

Visit F-Droid to See Screenshot: https://f-droid.org/packages/com.eanema.graph89/

cross-posted from: https://feddit.nl/post/23557305

Allow me to spread the word about ListenBrainz, the occasion being that ListenBrainz now stores over 1 billion entries of listening data from it's users. ListenBrainz is a FOSS project that aims to crowdsource listening data and release it under an open license. Basically it’s Last.fm but better.

Whatever you use to listen to music, you can probably link it up with ListenBrainz. For instance you can connect Spotify, Apple Music, Soundcloud, Last.fm. You can link it up with loads of music players. If you’ve kept track of your what music you’ve listened to up to this point, don’t worry, there are several ways to import them into ListenBrainz.

All ListenBrainz listening data is available for all to use. This means that we don't need to rely on big companies like Spotify for recommendation algorithms. We can use whatever algorithm suits us best. All sorts of other services could be build to make use of the ListenBrainz data set. The dataset can also help analyze other services' algorithms, for instance the Fair MusE project uses LB-data and LB-users to investigate the fairness of different music service algorithms.

Obviously ListenBrainz initially suffered from being a comparatively small service, For good recommendations you need loads of data. But it's growing every day and I feel like the 1 billion listens is an impressive milestone. And ListenBrainz has the advantage of having listening data from several services, Spotify could never recommend you music that's not on Spotify. ListenBrainz, because it's open, doesn't have such inherent blindspots.

I am not working for ListenBrainz in any way, I just really like this project as well as MusicBrainz, and I like to spread the word. I think the aims of the ListenBrainz probably align with some Fediverse-folks. If you don't care about the service itself, you could still link up to support FOSS music services, not only LB itself, but other services that are, can and will be built using LB's data. If you use another service to store your own listening data, for instance Last.fm, you could use ListenBrainz as a backup for you data in case the other sevice ever enshittifies. Note: you shouldn't sign up if you want your listening data to be private, that's not what LB is for. I care very much about privacy, but in the case of LB I consciously choose to share my music listening data with others for my own benefit.

Curious to hear peoples thought on all this.

Discovering your application by usecase validation. Make test writing fast, understandable by any human understanding English or French. Open source under MIT license.

cross-posted from: https://lemmy.world/post/21666337

Bitwarden isn't going proprietary after all. The company has changed its license terms once again – but this time, it has switched the license of its software development kit from its own homegrown one to version three of the GPL instead.

The move comes just weeks after we reported that it wasn't strictly FOSS any more. At the time, the company claimed that this was just a mistake in how it packaged up its software, saying on Twitter:

It seems like a packaging bug was misunderstood as something more, and the team plans to resolve it. Bitwarden remains committed to the open source licensing model in place for years, along with retaining a fully featured free version for individual users.

Now it's followed through on this. A GitHub commit entitled "Improve licensing language" changes the licensing on the company's SDK from its own license to the unmodified GPL3.

Previously, if you removed the internal SDK, it was no longer possible to build the publicly available source code without errors. Now the publicly available SDK is GPL3 and you can get and build the whole thing.

Opensource geodata of celltowers, wifis and bluetooth beacons is crucial.

It allows apps like UnifiedNLP to give the OS the location data it needs, without relying on GPS Sattelites.

GPS can be tampered with, and A-GPS is not privacy friendly at all.

UnifiedNLP is only found included in microG, which is pretty insecure.

But GrapheneOS devs are working on a regular user app that serves network location data, using Apple, Apple (proxied) or a local BeaconDB database!

BeaconDB is a new service to replace MozillaLocationServices which has shut down unfortunately.

Apps like TowerCollector dont yet support it, but NeoStumbler does, and also has more advanced features.

Collect network info in your region, and in the future you (and everyone else using it) dont need GPS anymore!

(You can also use the screenshots in that mastodon thread as reference)

Hi all, we’re building an open-source, self-hostable alternative to platforms like Klaviyo, Braze, and Mailchimp.

The core functionality of the platform includes a user segmentation builder, low-code email template editor, and low-code drag-and-drop journey builder for creating automated messaging workflows. Right now, fully supported channels are email, SMS, and webhook, with mobile push under development.

Link to repo: https://github.com/dittofeed/dittofeed

If you need any help with deploying an instance, reach out on Discord! https://discord.gg/HajPkCG4Mm

definition: https://opensource.org/ai/open-source-ai-definition

endorsements: https://opensource.org/ai/endorsements

In particular, which tools meet the requirements and which ones don't:

As part of our validation and testing of the OSAID, the volunteers checked whether the Definition could be used to evaluate if AI systems provided the freedoms expected.

• The list of models that passed the Validation phase are: Pythia (Eleuther AI), OLMo (AI2), Amber and CrystalCoder (LLM360) and T5 (Google).
• There are a couple of others that were analyzed and would probably pass if they changed their licenses/legal terms: BLOOM (BigScience), Starcoder2 (BigCode), Falcon (TII).
• Those that have been analyzed and don't pass because they lack required components and/or their legal agreements are incompatible with the Open Source principles: Llama2 (Meta), Grok (X/Twitter), Phi-2 (Microsoft), Mixtral (Mistral).

These results should be seen as part of the definitional process, a learning moment, they're not certifications of any kind. OSI will continue to validate only legal documents, and will not validate or review individual AI systems, just as it does not validate or review software projects.

well then.