Loop (iOS)
What it is
An open-source automated insulin delivery app for iPhone, built by LoopKit around model-predictive control. Released version 3.14.7 (15 September 2026) adds Omnipod 5 support. Users build and maintain the unapproved app themselves.
Editorial review: .
Most recent recorded citation date: 2026-09-15. Only explicit date metadata is included; an undated citation may be newer. This does not mean every claim was reviewed on that date.
Trial status, labels and access can change between reviews. How we review the evidence · How to read the evidence
Evidence behind this assessment
Key evidence notes. Study results, product eligibility and access answer different questions.
- Who was studied?
- Study populations and analysis groups vary. Product age limits alone do not describe who was studied.See the linked studies and their populations →
- Benefit or performance
- Algorithm sophistication: Model-predictive control; each five-minute prediction sets bolus recommendations and temporary basal rate adjustments.[1]
- Important harms and treatment burden
- Read the safety discussion and original sources. A missing summary does not establish safety.
- Approval and country access
- Country-specific approval and access are not summarized in this record.Approval, trial recruitment, local supply and funding are separate. Check the cited label or access source.
- Follow-up and remaining uncertainty
- Read the full discussion and original sources for follow-up duration and study limitations.
Editorial score: calculation and evidence
A weighted editorial judgment on a 0–100 scale, not a probability of success or a measured treatment effect. Higher criterion scores mean more favorable assessments.
Default calculation: 78 × 25 + 76 × 20 + 85 × 20 + 85 × 15 + 55 × 20 = 7545; divide by total weight 100. Unrounded weighted result: 75.45.
Model-predictive control; each five-minute prediction sets bolus recommendations and temporary basal rate adjustments.[1]
Loop 3.14.7 adds released Omnipod 5 support alongside Eros/DASH, Medtrum Nano and legacy Medtronic pumps. Eversense E3/365 joined in 3.14.2; Dana still uses a feature branch and Libre 3 remains unsupported in Loop.[6]
Fully open and inspectable; every therapy setting, override and dosing strategy is tunable, with clarity favored over maximal knobs.[1]
Mature LoopDocs documentation plus a large volunteer support ecosystem; a 2022 study reported more than 9,000 Loop users.[3]
Self-compiled using just a browser on an Apple device; still a build-and-maintain commitment on compatible hardware.[4]
Editor’s take
The friendliest doorway into DIY looping for iPhone users — and the lineage that produced the first FDA-cleared open-source algorithm (Tidepool Loop). It proves an inspectable algorithm can also be a clear one.
The full picture
Loop is an open-source automated insulin delivery (AID) app that runs on the iPhone, built and maintained by the LoopKit community.4 Unlike commercial AID, you compile it yourself from source onto your own device, which is the central fact of using it.4
Platform and algorithm. Loop is iOS-only; there is no Android version — the equivalent Android project is the separate AndroidAPS.2 Its algorithm is a model-predictive control (MPC) design that, every five minutes when new glucose data arrives, generates a new prediction using your therapy settings, modified by active overrides.1 Both bolus recommendations and temporary basal rate adjustments are set based on this prediction.1
Supported hardware. Loop 3.14.7 adds Omnipod 5 alongside Eros/DASH, Medtrum Nano and legacy Medtronic pumps. Eversense E3/365 support arrived in 3.14.2; Dana remains on a feature branch and Libre 3 is not supported. The latest release changes Omnipod Bluetooth handling and G7 sensor discovery; read the current compatibility and migration notes.6
Community and support. Loop has unusually deep documentation (LoopDocs) and a large volunteer support network offering build help.104 More than 9,000 people were estimated to be using Loop by the time of a 2022 study.10
Legal and self-responsibility status. DIY Loop is not a regulated medical device; you build and run it at your own responsibility, and LoopDocs is explicit that you must know how to set up, operate and troubleshoot it.4 Importantly, the Loop algorithm became the basis for Tidepool Loop, which the FDA cleared in January 2023 as the first interoperable automated glycemic controller (iAGC) supported by real-world evidence rather than a classical trial — the first regulatory clearance of an open-source AID algorithm.1112
Clinical evidence. In a prospective real-world study of 558 adults and children, Loop raised time-in-range from 67% to 73% and lowered HbA1c from 6.8% to 6.5% over six months, with no increase in severe hypoglycemia.13 Qualitative work with Loop users reports reduced management burden and better quality of life, alongside real setup and troubleshooting friction.10 (The randomized CREATE trial of open-source AID used the OpenAPS algorithm in AndroidAPS, not Loop, so it speaks to the open-source approach generally rather than to Loop specifically.11)
More recent work has started to place Loop next to commercial AID and to extend it to children. A 2026 study compared glucose management between open-source Loop and Tandem Control-IQ in adults with T1D — we cite it here only as evidence that such a head-to-head comparison now exists, because it was published as a letter without an abstract, and we will not put numbers on it we have not read.8 Separately, a single-centre study followed 50 children aged 2–18 who started Loop: over six months time-in-range rose from 68.3% to 72.7%, the share of children above the 70% time-in-range target rose from 46% to 66%, and HbA1c fell from 7.0% to 6.6% (in a smaller subset with HbA1c data), with no change in time spent low and no episodes of diabetic ketoacidosis.9 It is one centre and there is no control group, so read it as encouraging rather than definitive.
September update. Loop 3.14.7 was released on 15 September 2026 with Omnipod 5 support and fixes for Pod communication, G7 sensor discovery, Eversense and Medtrum drivers. These are software changes, not new clinical outcome evidence. Dana support continues on feature branches.6
What's next for this
- →Dana pump support in progress (Dana-i/DanaRS sections on the compatibility page)
Sources
- [1]LoopDocs: Algorithm overview and FAQs (model-predictive control, dynamic carbs, automatic bolus) · Open-source community
LoopKit community. LoopDocs — Algorithm overview, Dynamic Carbs, Bolus recommendations & Algorithm FAQs (model-predictive control; five-minute prediction cycle). Accessed 2026.
- [2]LoopDocs: Compatible pumps and CGMs · Open-source community
LoopKit. Compatible pumps and CGMs.
- [3]Qualitative Study of User Experiences with Loop, an Open-Source AID System · Peer-reviewed study
- [4]LoopDocs: Building Loop yourself (the app is not downloadable) · Open-source community
LoopKit community. LoopDocs — Loop FAQs (build the app yourself; Apple device required). Accessed 2026.
- [5]
- [6]LoopDocs releases — v3.14.7 and version history · Open-source community · 2026-09-15
LoopKit. LoopDocs version history, including v3.14.7 (15 September 2026).
- [7]Omnipod 5 is coming to Loop and Trio: dev-branch open beta via the OmnipodKit unified driver, announced at D-Data 2026 · Open-source community · 2026-07-02 — Historical beta page; superseded by released Loop 3.14.7.
- [8]Wu Z, Lebbar M, Lal R, et al. Comparison of Glucose Management Between Open-Source Loop and Tandem Control-IQ AID Systems in Adults With Type 1 Diabetes. Diabetes Obes Metab 2026;28(6):5394-5398 · Peer-reviewed study · 2026-03-23
Wu Z, Lebbar M, Lal R, Bonhoure A, Messier V, Nguyen É, Boudreau V, Brazeau AS, Rabasa-Lhoret R. Comparison of Glucose Management Between Open-Source Loop and Tandem Control-IQ Automated Insulin Delivery Systems in Adults With Type 1 Diabetes. Diabetes, Obesity and Metabolism (2026); 28(6):5394–5398. Published as a letter; no abstract available, so we report its existence only. According to PubMed.
- [9]Ugur Kaval A, et al. Use of the Loop Open-Source AID System in Children with Type 1 Diabetes: Six-Month Results from a Single Center. Horm Res Paediatr (2026) · Peer-reviewed study · 2026-01-27
Ugur Kaval A, et al. Use of the Loop Open-Source Automated Insulin Delivery System in Children with Type 1 Diabetes: Six-Month Results from a Single Center. Hormone Research in Paediatrics (2026; epub 27 January 2026). Fifty children aged 2–18 starting Loop at a single centre; time-in-range 68.3% → 72.7% at six months (p=0.003), HbA1c 7.0% → 6.6% (p=0.006, limited sample), time-below-range unchanged, no DKA. According to PubMed.
- [10]
Suttiratana SC, Wong JJ, Lanning MS, et al. Qualitative Study of User Experiences with Loop, an Open-Source Automated Insulin Delivery System. Diabetes Technology & Therapeutics (2022); 24(6):416–423. According to PubMed. https://pmc.ncbi.nlm.nih.gov/articles/PMC9208860/ (DOI)
- [11]
Braune K, Hussain S, Lal R. The First Regulatory Clearance of an Open-Source Automated Insulin Delivery Algorithm. Journal of Diabetes Science and Technology (2023); 17(5):1139–1141. According to PubMed. https://pmc.ncbi.nlm.nih.gov/articles/PMC10563523/ (DOI)
- [12]
Tidepool. Tidepool Loop has received FDA Clearance! (January 2023; first FDA-cleared interoperable automated glycemic controller built on the open-source Loop algorithm). https://www.tidepool.org/blog/tidepool-loop-has-received-fda-clearance
- [13]
Lum JW, Bailey RJ, Barnes-Lomen V, et al. A Real-World Prospective Study of the Safety and Effectiveness of the Loop Open Source Automated Insulin Delivery System. Diabetes Technology & Therapeutics (2021); 23(5):367–375. According to PubMed. https://pmc.ncbi.nlm.nih.gov/articles/PMC8080906/ (DOI)