lab inventory software · laboratory inventory management
Quartzy vs Labguru vs SciNote vs LabArchives Compared
September 20, 2026
15 min read
Compare Quartzy, Labguru, SciNote and LabArchives in 2026 across 25 RFP criteria, five workflow tests, inventory traceability, procurement, ELN links, compliance evidence and export paths.

- 01The most defensible shortlist starts with operating workflow, separating procurement-first, ELN-centric, and integrated-suite needs.
- 02Quartzy emphasizes request-to-receipt control, while Labguru offers a broader integrated lab-operations model.
- 03SciNote requires plan-specific review of paid inventory add-ons, and LabArchives keeps purchasing outside Inventory.
- 04No independent current benchmark compares all four products, so identical scripted demonstrations should determine selection.
- 05For regulated use, assess supplier evidence alongside customer validation responsibilities and intended use.
Executive Summary
Quartzy, Labguru, SciNote, and LabArchives Inventory solve different operating problems, so the most defensible shortlist starts with workflow, not a feature count. Quartzy is the strongest procurement-first candidate in this group: every plan includes its Shop, inventory tracking, and request workflows ([1]), it supports price-threshold approvals ([2]), and receiving can generate an immutable goods-received record ([3]). Its direct purchasing is documented as US-only ([4]).
Labguru is the broadest integrated lab-operations suite of the four based on public documentation. It connects inventory to electronic lab notebook (ELN) entries ([5]), handles shopping-list requests and partial receiving ([6]), and documents stock aliquoting ([7]). SciNote is ELN-centric and modular: storage locations and stock management are paid inventory add-ons ([8]) ([9]). LabArchives Inventory fits organizations already centered on LabArchives ELN: recorded ELN use deducts inventory automatically ([10]), while actual purchasing remains outside Inventory ([11]).
For a small lab replacing spreadsheets, shortlist Quartzy when requests and ordering dominate, and LabArchives when institutional ELN alignment dominates. A scaling biotech should compare Quartzy plus its existing ELN against Labguru as a consolidated suite, and include SciNote when notebook workflows are primary and modular add-ons are acceptable. Do not infer regulated fitness from a compliance label. FDA says Part 11 remains in effect ([12]), while the current European Commission Annex 11 requires formal agreements between a manufacturer and third parties to include clear statements of the third party’s responsibilities ([13]). Run the five-workflow proof script in this report and require a complete export before award.
Quartzy research organizations reported worldwide
When Quartzy inventory audit trail recording was activated
LabArchives Inventory trial length
SciNote Premium export limit per user per organization per day
Introduction and Background
The phrase best lab inventory software hides three buying archetypes. An inventory and procurement-first system begins with a request, approval, supplier, purchase order, receipt, and stock update. An ELN-centric system begins with experimental work and links consumed materials to the record. An integrated lab-operations suite combines ELN, laboratory information management system (LIMS), inventory, equipment, and purchasing functions. NIH defines an ELN as a system used to create, store, retrieve, and share electronic research records ([14]). Inventory is related, but not identical.
This distinction determines whether a Quartzy alternative is truly substitutable. Replacing Quartzy with an ELN inventory module may improve experiment linkage but weaken native purchasing. Replacing Labguru or SciNote with a stock tracker may simplify receiving but split scientific context across systems. Selection criteria should therefore be clear, measurable, and specific to the intended operating context ([15]).
IntuitionLabs is an adjacent adviser, not an inventory-software contender. Its published life-sciences scope includes inventory, supply-chain management, and ELN/LIMS integration ([16]) ([17]), and its trust framework emphasizes intended use and validation evidence ([18]). That perspective informs the RFP method, but IntuitionLabs is not a product row.
Quartzy
Capabilities
Quartzy combines requests, ordering, receiving, inventory, and a supplier marketplace. Public plan documentation says core request and inventory workflows are included, as are APIs and webhooks ([19]). Instances track batches or groupings of a common item ([20]), and the mobile app can scan barcodes to update counts ([21]). A complete inventory list can be downloaded at any time ([22]).
Adoption, strengths, and limitations
Quartzy reports more than 1,200 research organizations worldwide ([23]). Its clearest advantage is request-to-receipt control. Its important boundary is geography: direct Quartzy purchasing is US-only, so non-US buyers must test the request and external-order path. Automatic purchase-order numbering is a paid add-on ([24]). Its inventory audit trail started recording events in March 2024 ([25]), so migration teams should determine how earlier history will be represented.
Labguru
Capabilities
Labguru is the integrated-suite option. Its shopping list manages purchase requests ([26]), while stock records can carry lot numbers, receipt dates, and custom experimental fields ([27]). It documents expiry notifications ([28]), aliquoting, and direct ELN linkage.
Integration evidence is comparatively strong. The REST application programming interface (API) offers create, read, update, and delete access to almost all data ([29]). Public-cloud single sign-on (SSO) uses Security Assertion Markup Language (SAML) ([30]), and administrators can obtain a ZIP export containing full account data ([31]).
Adoption, strengths, and limitations
Labguru is the most plausible single-system shortlist when notebook, inventory, and lab operations must share a data model. That breadth increases implementation scope, so the proof of concept should test permissions, data ownership, taxonomy, and change control. Labguru says every change is logged ([32]), but its validated-cloud page assigns performance qualification to the customer ([33]). Pricing is quote-based on the reviewed public page ([34]). Buyers should confirm which API, SSO, mobile, label, and validation functions are included in the offered tier.
“No independent, current head-to-head benchmark was found for transaction latency, scan throughput, search speed, uptime, or implementation effort across all four products. That absence should remain **unknown**, not become a zero.
SciNote
Capabilities
SciNote is an ELN-centered platform with modular inventory functions. Protocol templates can populate linked materials into a task's Assigned Items section ([35]). Equipment bookings can start from the calendar, inventory toolbar, or item card ([36]). A RESTful API supports connections to LIMS, customer relationship management, and enterprise resource planning applications ([37]).
Adoption, strengths, and limitations
The comparison must be plan-specific. Storage Locations and Stock Management are paid add-ons, while expiry reminders sit within the Stock Management add-on ([38]). Inventory templates are documented for Premium customers ([39]). The Free edition lacks a detailed audit trail ([40]), and Premium project export is limited to five requests per user per organization per day ([41]). SciNote also states that full Part 11 adherence requires customer procedures, validation, and training ([42]).
LabArchives
Capabilities
LabArchives Inventory is an inventory and ordering module closely tied to the LabArchives ecosystem. Its item records include location, supplier, grant code, safety sheets, expiry, current amount, and history ([43]). Locations are hierarchical ([44]), and aliquots are discrete records with independent quantities and histories ([45]).
Adoption, strengths, and limitations
LabArchives says its products serve more than 450,000 scientists and professors ([46]). It offers a 90-day Inventory trial ([47]). SSO and developer API access are Enterprise controls ([48]). UTHealth describes the companion Scheduler as coordinating major equipment across lab groups ([49]). The material limitation is purchasing scope: Inventory tracks orders, but the purchase itself occurs in an institutional system or with the vendor.
Feature Comparison
Table 1 summarizes the documented operating model. “Verify” means public evidence was insufficient to make a plan-level claim, not that the feature is absent.
| Workflow | Quartzy | Labguru | SciNote | LabArchives Inventory |
|---|---|---|---|---|
| Primary orientation | Procurement plus inventory | Integrated ELN/LIMS plus inventory | ELN with modular inventory | Inventory tied to ELN ecosystem |
| Request and approval | Native requests, price-threshold approvals ([2]) | Shopping-list requests and permissions ([26]) | Verify offered workflow | Orders module, purchase external ([11]) |
| Lots and aliquots | Instances for batches | Stock aliquots | Verify aliquot lineage | Discrete aliquot records |
| Barcode/mobile | Mobile count scanning | Verify offered tier | Verify offered add-on | Verify offered tier |
| ELN linkage | Integration-dependent | Native linkage | Native workflow context | Native Inventory List usage |
| Equipment | Verify | Suite capability, verify tier | Equipment scheduling | Companion Scheduler |
| API and SSO | API/webhooks; verify SSO and tier | REST API and SAML SSO | REST API; verify SSO and tier | Enterprise API and SSO |
| Export | Full list; item audit CSV | Account ZIP with exceptions | Project export limits apply | Test aliquot detail and history |
| Public pricing | $50/month Academia; $250/month Industry; Enterprise custom | Quote required | Quote required | $99 Academic / $199 Corporate per user per year; Enterprise custom |
The table shows why Quartzy vs LabArchives is not simply a price decision. Quartzy owns more of the purchase loop; LabArchives anchors stock use in its notebook environment. Labguru vs SciNote is likewise a scope decision: Labguru publicly documents more of a consolidated operations model, while SciNote exposes modular packaging that an RFP must price explicitly.
The 25-row RFP matrix
Table 2 is a reusable proof matrix. Buyers should replace “verify” with evidence from the contracted plan and attach screenshots or exports to each answer.
| # | Criterion | Required proof | Public baseline |
|---|---|---|---|
| 1 | Item identity | Create unique item and duplicate check | Verify |
| 2 | Lot identity | Add two lots under one catalog item | Quartzy instances; Labguru lot fields |
| 3 | Aliquot lineage | Split one lot and preserve parent link | Labguru and LabArchives documented |
| 4 | Location hierarchy | Site, room, freezer, shelf, box | LabArchives hierarchy documented |
| 5 | Expiry | Alert and report by date | Labguru alerts; SciNote add-on |
| 6 | Safety documents | Attach and retrieve safety data sheet | LabArchives documented |
| 7 | Custom fields | Restrict types and required values | Verify by plan |
| 8 | Barcode creation | Print machine-readable labels | Verify printer and plan |
| 9 | Mobile scanning | Scan, move, consume, and count | Quartzy count scan documented |
| 10 | Audit history | Show before/after value, actor, time | Verify complete field coverage |
| 11 | Request | Scientist submits controlled request | Quartzy and Labguru documented |
| 12 | Approval | Route by role and value | Quartzy threshold documented |
| 13 | Supplier | Preferred supplier and catalog control | Verify by geography |
| 14 | Purchase order | Generate or pass PO number | Quartzy generation is add-on |
| 15 | Partial receipt | Receive part of an order | Labguru documented |
| 16 | Goods receipt | Immutable receipt evidence | Quartzy documented |
| 17 | Reorder | Threshold, notification, and request | Verify end to end |
| 18 | Reservation | Reserve scarce stock without consuming | Verify |
| 19 | ELN consumption | Link use to experiment | Labguru, SciNote, LabArchives documented |
| 20 | Equipment scheduling | Book and resolve collision | SciNote and LabArchives ecosystem documented |
| 21 | API | Read/write item, lot, order, and history | Scope-test each endpoint |
| 22 | SSO | SAML/OIDC, role mapping, deprovisioning | Labguru SAML; LabArchives Enterprise |
| 23 | Bulk import | Map and reject malformed rows | Verify migration trial |
| 24 | Complete export | Items, attachments, relations, audit history | Test with supplied data |
| 25 | Validation evidence | Supplier package plus customer responsibilities | Verify intended-use package |
The matrix deliberately separates a vendor statement from demonstrated behavior. Chemical-inventory programs illustrate the operational stakes: the University of Nevada specifies minimum fields including chemical, vendor, quantity, and location ([50]) and applies a barcode to each incoming container ([51]). UCF describes container-level cradle-to-grave tracking ([52]), while the University of Washington requires laboratory and stockroom chemicals to be inventoried ([53]).
- Combines requests, ordering, receiving, inventory, and a supplier marketplace.
- Direct Quartzy purchasing is US-only.
- Recorded ELN use deducts inventory automatically and updates usage history.
- Inventory tracks orders, but purchasing occurs in an institutional system or with the vendor.
Quartzy owns more of the purchase loop; LabArchives anchors stock use in its notebook environment.
Performance and Benchmarks
No independent, current head-to-head benchmark was found for transaction latency, scan throughput, search speed, uptime, or implementation effort across all four products. That absence should remain unknown, not become a zero. Procurement should benchmark each offered configuration using the same seed data, roles, and devices.
Use this five-workflow demonstration script:
- Receive a lot: request, approve, order, partially receive, attach a certificate, assign expiry and location, then inspect history.
- Split aliquots: create three aliquots, move one, consume one in an experiment, and prove the parent relationship.
- Reserve an item: reserve scarce stock, prevent over-allocation, release it, and inspect notifications.
- Reorder: cross a threshold, route approval, apply a preferred supplier, receive the replacement, and reconcile quantity.
- Export everything: export items, lots, aliquots, attachments, users, permissions, orders, and audit history, then reconstruct one record outside the application.
For regulated use, test controls rather than labels. FDA highlights limiting access to authorized users ([54]). NIST calls for audit records that establish event, time, source, outcome, and identity ([55]) and protection against unauthorized modification or deletion ([56]).
Request, approve, order, partially receive, attach a certificate, assign expiry and location, then inspect history.
Create three aliquots, move one, consume one in an experiment, and prove the parent relationship.
Reserve scarce stock, prevent over-allocation, release it, and inspect notifications.
Cross a threshold, route approval, apply a preferred supplier, receive the replacement, and reconcile quantity.
Export items, lots, aliquots, attachments, users, permissions, orders, and audit history, then reconstruct one record outside the application.
Benchmark each offered configuration using the same seed data, roles, and devices.
That absence should remain unknown, not become a zero.
“The final award should not rely on a marketing matrix. Use the same seed dataset and five workflows for every vendor, score only demonstrated capabilities, keep unknowns blank, and require a reconstructable export.
Data Analysis and Evidence
Quantitative public evidence is sparse and heterogeneous. Vendor adoption figures use different units, so Quartzy's 1,200-plus organizations cannot be compared directly with LabArchives' 450,000-plus scientists and professors. They indicate reach, not active-user rates, retention, or inventory transaction volume. LabArchives' 90-day trial is useful for a structured proof, while SciNote's five daily Premium project-export requests per user per organization is a workflow constraint to test at migration scale.
A peer-reviewed 2024 study of ELN use analyzed 384 students across 13 course sections ([57]). It found 80.3% preferred the electronic format after use ([58]), but no significant change in first lab-report grades ([59]). Its reported $13 to $15 per student Classroom Edition fee ([60]) is not a current commercial Inventory price. The lesson is methodological: preference, learning outcome, and price are different measures.
Table 3 gives a weighted-score worksheet. Formula: criterion weight × verified score, where the score is 1 to 5. Leave a product cell blank until the offered plan passes the scripted proof. The example weights total 100, but they are editorial starting points, not measured market preferences.
| Criterion | Weight | Quartzy | Labguru | SciNote | LabArchives |
|---|---|---|---|---|---|
| Inventory traceability | 20 | ||||
| Request-to-receipt control | 20 | ||||
| ELN and experiment linkage | 15 | ||||
| Integration and identity | 10 | ||||
| Audit and validation evidence | 15 | ||||
| Export and reversibility | 10 | ||||
| Usability and mobile workflow | 5 | ||||
| Total cost and contract fit | 5 |
This prevents an undocumented feature from becoming an implied weakness. UK procurement guidance similarly says award criteria should be clear, measurable, specific, and proportionate ([15]), with an assessment methodology describing scoring ([61]). Distinct criteria reduce double counting ([62]).
Implications and Future Directions
Small lab decision tree
- Purchasing is the daily bottleneck: start with Quartzy, then verify geography, add-ons, and export.
- The institution already standardizes LabArchives: test Inventory and Scheduler before adding another identity and support boundary.
- Experiments are the system of record: compare SciNote and Labguru first, then prove request-to-receipt depth.
- Needs are still unclear: run a spreadsheet cleanup and workflow inventory before issuing an RFP.
Scaling biotech decision tree
- Keep the current ELN: compare Quartzy as a procurement layer with the incumbent's inventory module, including integration ownership.
- Consolidate lab operations: shortlist Labguru, then prove configuration governance, APIs, validation evidence, and complete export.
- Prefer modular ELN expansion: shortlist SciNote with every required add-on named in the commercial schedule.
- Operate in a regulated boundary: document intended use, user requirements, risk assessment, supplier evidence, customer testing, change control, and periodic review.
For computerised systems used as part of GMP-regulated activities, the European Commission’s current Annex 11 says, “The application should be validated; IT infrastructure should be qualified” ([13]). This is a lifecycle consideration, not a checkbox a vendor can complete alone.
Frequently Asked Questions (FAQs)
Which is the best lab inventory software?
There is no universal winner. Quartzy is best aligned with procurement-first workflows; Labguru with broad suite consolidation; SciNote with ELN-centered modularity; and LabArchives Inventory with organizations already using its notebook ecosystem. The RFP proof should decide the winner for the actual operating model.
Is Quartzy an alternative to LabArchives?
Yes for inventory and order tracking, but not as a like-for-like architecture. Teams evaluating Quartzy alternatives or searching for LabArchives inventory software should compare the entire purchase-to-consumption path. Quartzy includes a supplier marketplace and deeper purchase workflow, while LabArchives connects inventory consumption to its ELN and leaves purchasing in an external procurement system.
When is an electronic lab notebook with inventory management preferable?
An electronic lab notebook with inventory management is preferable when scientists must connect material identity, quantity, and use directly to experimental records. A procurement-first tool is preferable when request, approval, supplier, purchase order, and receiving controls dominate the workload.
What are the main lab inventory software selection criteria?
The core lab inventory software selection criteria are item and lot traceability, aliquot lineage, locations, expiry, barcode workflow, request-to-receipt control, ELN linkage, equipment scheduling, permissions, audit history, integrations, validation evidence, and reconstructable export. Buyers should weight these criteria against their operating model and score only demonstrated behavior.
Do these tools support 21 CFR Part 11?
Several vendors publish Part 11-related claims or controls, but software alone does not make an organization compliant. Verify access, audit trail, signatures, record protection, validation documentation, procedures, training, and the exact contracted configuration. Buyers should validate intended use.
What should be exported before signing a contract?
Require a representative export of items, lots, aliquots, locations, attachments, suppliers, orders, users, roles, links to experiments, and complete audit history. Also document format, API limits, assistance fees, retention after termination, deletion evidence, and how relationships can be reconstructed.
Conclusion
The defensible answer to Quartzy vs Labguru vs SciNote vs LabArchives is a shortlist by operating model. Quartzy merits an RFP when request, approval, supplier, order, receipt, and stock updates form the core workflow. Labguru merits one when a scaling organization wants ELN, inventory, and operational functions in a common suite. SciNote merits one when research records are primary and the buyer is comfortable specifying paid inventory capabilities explicitly. LabArchives Inventory merits one when notebook alignment, institutional identity, and equipment scheduling outweigh the need for native purchasing.
The final award should not rely on a marketing matrix. Use the same seed dataset and five workflows for every vendor, score only demonstrated capabilities, keep unknowns blank, and require a reconstructable export. For regulated use, evaluate the supplier package and the customer's validation responsibilities together. That approach turns a broad laboratory inventory management software comparison into evidence a lab operations lead, R&D IT owner, procurement team, and quality unit can all review.
About IntuitionLabs
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IntuitionLabs is an AI consulting, custom software development and data engineering firm serving pharmaceutical, biotechnology, medical-device and other life-science organizations. We work with clinical, regulatory, medical-affairs, commercial, quality and IT teams to connect technology decisions with the work people need to accomplish.
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We provide Veeva services, application support, managed services, integrations and custom applications, alongside enterprise content work involving platforms such as Egnyte. For regulated workflows, our services include GxP enablement, computer-system validation and software development addressing 21 CFR Part 11 requirements. The applicable controls, validation responsibilities and acceptance criteria are defined for each engagement.
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I'm Adrien Laurent, Founder & CEO of IntuitionLabs. With 25+ years of experience in enterprise software development, I specialize in creating custom AI solutions for the pharmaceutical and life science industries.
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